Top Data Scientist Jobs Openings in 2025

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the roleThis is an exciting opportunity to work on Faculty’s product Frontier, working as a Lead Data Scientist in our Customer Development team. You’ll have a crucial opportunity to shape the technical vision for how we deliver our flagship Frontier product to customers and guide the senior and junior data scientists on your team.You will oversee project teams that configure Frontier for our customers by designing and building bespoke computational twins – our AI-powered digital twins. Maintaining ownership of the data science approach, you will own the technical vision for these complex deployments, partner directly with clients to shape strategy, and play a vital part in mentoring the next generation of data science talent at Faculty.What you'll be doingProject Leadership:Guide the technical delivery of Frontier deployments for clients, from initial discovery through to the build and productionisation of computational twins.Own the end-to-end data science approach, designing and implementing the optimal techniques – from EDA and classic machine learning to deep learning – to create high-performing computational twins within the Frontier platform.Partner with our commercial team and clients to build strong, lasting relationships, acting as a trusted technical advisor on how AI & Frontier can solve their most complex problems.Articulate intricate technical concepts, model design choices, and strategic decisions clearly and effectively to diverse audiences, from client-side engineers to C-suite executives.Team Mentorship:Formally manage and mentor a number of data scientists, taking direct responsibility for their career progression and professional growth.Provide targeted technical support and learning opportunities for the data scientists on your project teams, ensuring they are developing their skills in applied data science and on the Frontier platform.Contribute to sustaining our culture by creating an atmosphere of collaboration and setting a high standard for performance and technical excellence within the team.Technical Leadership:Establish a distinct and differentiated data science vision for building computational twins, driving best practices and innovative approaches for configuring the Frontier product.Partner with our commercial and product teams to ensure potential projects are appropriately scoped and resourced, balancing client delivery, colleague wellbeing, and commercial imperatives.Keep abreast of the latest technical and technology advancements in AI, share these with others in the organisation, and identify how they can be incorporated into the Frontier product and our delivery workflows.Who we're looking forYou have deep technical expertise in machine learning and a command of diverse methodologies, with a solid grasp of data science and statistical techniques (e.g., supervised/unsupervised machine learning, model cross-validation, Bayesian inference, time-series analysis).Strong Python programming skills and an excellent proficiency of the basic libraries for data science (e.g., NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g., TensorFlow, PyTorch).You possess proven experience leading data science projects and making key decisions on technical direction, model selection, and architecture.You are an exceptional communicator, capable of building rapport with clients, translating complex business problems into a mathematical framework, and presenting technical solutions persuasively to senior audiences.You have a strategic, product-oriented mindset, with an ability to understand the core needs of users and connect them to the value delivered by a technical product like Frontier.You are passionate about developing people and have experience formally managing or mentoring other technical professionals.Commercial experience is essential, particularly if it involved client-facing work, project management, or consulting. You are motivated to work alongside our clients to ensure the successful delivery of innovative work to strict timelines.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About Otter.ai  We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. The Opportunity As a Data Scientist at Otter.ai, you will be a key player within our Product and Go-to-Market teams. You will leverage your advanced data analytics skills and deep understanding of our products and market to drive strategic decision-making, optimize engagement and monetization strategies, and accelerate product adoption. Your work will significantly enhance customer experiences and contribute to our business success. If you are passionate about using data to drive business growth and want to be part of a team shaping the future of conversations, we invite you to apply and help us achieve our mission of Making Conversations More Valuable. Your Impact Collaborate with Product and Go-to-Market teams to understand business objectives and challenges, translating them into data-driven insights and recommendations. Develop and Implement predictive models, analytical tools, and methodologies to analyze product usage, sales trends, customer behaviors, and market dynamics. Analyze large datasets to generate actionable insights that guide the development and optimization of engagement and monetization strategies. Design and Execute experiments to test hypotheses and measure the effectiveness of various product experiences, sales tactics, marketing campaigns, and business strategies. Partner with cross-functional teams, including Product Management and Engineering, to integrate data-driven insights into our products and services, driving continuous improvement and innovation. Present findings and recommendations to key stakeholders, including executives, to inform strategic decision-making and shape the company’s Product and Go-to-Market strategies. Collaborate with Data Engineers to ensure data quality, accessibility, and reliability for analysis purposes. Stay current with industry trends, emerging technologies, and best practices in data science, machine learning, and AI to drive innovation and competitiveness. We're looking for someone who 3+ years as a Data Scientist or similar role, preferably in a technology or AI-driven company. Proficiency in SQL for querying large datasets, and expertise in Python and R for data manipulation, analysis, and visualization. Strong background in data analysis, statistical modeling, and other data science techniques. Familiarity with B2B go-to-market business models. Excellent ability to translate complex findings into actionable insights for non-technical stakeholders. Proven ability to work effectively in cross-functional teams and manage multiple projects simultaneously. Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic start-up environment. Salary range Salary Range: $155,000 to $210,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.

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Role DetailsLocation: San Francisco, CA. This role is based out of our San Francisco HQ and is not eligible for full-time remote work.About UsAt FurtherAI, we’re building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation.We’ve raised a $5M seed round from top investors (YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience.Now, we’re looking for an exceptional Data Scientists to join our early team and help shape both our product and culture.Why Join UsRocketship Growth: Post-PMF, with revenue growing at an exceptional pace.Elite Team: Founding team includes ex-Apple AI Research, 4 ex-YC founders, and 6 ex-founders. Engineers have prior experience at Apple, Microsoft, Google, and Amazon.Technical Depth: Work alongside a staff research scientist and a team of 7 engineers solving cutting-edge problems in AI and scalable backend systems.Massive Market Impact: Insurance is the backbone of global commerce - our work reshapes how this industry operates.Founder’s Mindset: Perfect fit if you want to own big pieces of the product and possibly start your own company in the future.What You’ll DoOwn data & evaluation across multiple customer projects - design metrics, run experiments, and build dashboards to track model and workflow performance.Evaluate and refine LLM-based systems - analyze outputs, tune prompts, and measure accuracy and coverage across varied insurance workflowsAnalyze and communicate insights from production data to improve accuracy, coverage, and reliability.Work closely with our CTO, Sashank (ex-Apple AI/ML), to define success metrics and productionize AI systems.Collaborate with customers to translate workflows into measurable outcomes.Work in-person from our San Francisco HQ (5-day week).What We’re Looking For3+ years in data science or applied analytics.Experience prompting and evaluating LLMs for real-world applicationsStrong in Python, SQL, and building evaluation or dashboarding pipelines.Solid grasp of model metrics, error analysis, and experimentation.Clear communicator who can turn data into actionable insights.At FurtherAI, we set a high bar. We’re not looking for someone who just wants a job - we’re looking for someone who wants to build something transformative. If you thrive in environments where the pace is fast, expectations are high, and the rewards are outsized, you’ll love it here.

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🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!About the RoleWe're looking for a Data Scientist to build and scale Opus's data capabilities. This role sits at the crossroads of data engineering, applied data science, and product strategy. You'll lead high-impact projects across growth, CRM, customer experience, payments, web tracking, experimentation, and LLM-driven analytics—working closely with cross-functional partners to drive measurable business outcomes.This is a hands-on role: you'll define data vision, architectural systems, and roll up your sleeves to build pipelines, models, and advanced analyses that power Opus's growth.ResponsibilitiesData Engineering & InfrastructureDesign, implement, and maintain robust pipelines across multiple sources, including GCS, MongoDB, and third-party SaaS platforms.Ensure scalable ingestion, transformation, and governance of structured and unstructured data.Applied Data Science & AnalyticsLead advanced analyses across growth, CRM/CX, payment flows, and web tracking.Build marketing attribution models to measure ROI and optimize spend.Analyze user lifecycle and retention patterns, including churn risk, reactivation triggers, and CLV.Develop predictive models on user behavior to power personalization and recommendations.Create user segmentation and tagging frameworks to enable targeted engagement strategies.Evaluate CX metrics (NPS, CSAT, support efficiency) to inform product and ops improvements.Establish best practices in A/B testing and post-experiment evaluation.Prior experience in these areas is highly valued.Experimentation & InsightsPartner with product and business teams to design experiments and interpret results.Drive rigor in experiment design, metric selection, and causal inference.Leadership & StrategyDefine the data science roadmap / priority and align it with company goal.Mentor and grow a scrappy, high-performing team of data engineers and analysts.Act as a thought partner across GTM and BD initiatives, enabling data-driven decisions.RequirementsExperience3~5 years of experience in data-related roles, with a strong individual contributor (IC) backgroundProven track record of leading projects end-to-end in a fast-paced, high-ownership environment.EducationBachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering, or related).Master's degree preferred, though not strictly required, if compensated by strong industry experience.Technical ExpertiseStrong proficiency in Python and SQL, with hands-on experience across the data lifecycle.Experience with the modern data stack (BigQuery, dbt, Superset, Statsig).Solid data engineering skills with cloud storage (e.g., GCS), NoSQL databases (e.g., MongoDB), and SaaS integrations.Familiarity with workflow orchestration (e.g., Airflow) to automate and manage pipelines.Mastery of working in notebooks (e.g., Jupyter, Databricks), comfortable digging into raw data repositories and producing reproducible analyses.Familiar with LLM and agent workflows, curious and eager to push the frontier.Strong end-to-end development skills: from data ingestion and cleaning through modeling, analysis, deployment, and monitoring.Analytical ExcellenceDeep experience in A/B testing, experimentation platforms, and post-experiment analysis.Strong statistical intuition with the ability to translate results into actionable insights.Domain ExperienceExposure to CRM/CX, payments, web tracking, and user data.Experience building data products that support BD and customer-facing use cases.Leadership & CollaborationAbility to balance hands-on execution with strategic leadership.Experience in fast-paced startup environments, collaborating with product, engineering, and GTM teams.Nice to HaveExperience with ML in production, including deployment and monitoring.Interest in building and experimenting with data-driven agents, including prototyping agentic workflows.Familiarity with reinforcement learning and experimentation frameworks, ideally with human-in-the-loop (HITL) evaluation.Working knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS) and RAG pipelines for LLM-powered applications.EEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewWe are looking for a Staff Data Scientist who can set the foundation for data science at Harvey. We’ve achieved incredible product-market fit and are scaling rapidly across diverse customer profiles. You’ll bring a combination of analytical rigor, statistical expertise, and modeling skills to help us understand our users, evaluate product performance, and uncover growth opportunities. As one of the earliest members of the data science team, you’ll influence the data culture, shape our experimentation framework, and guide key product and business decisions.What You'll DoConduct in-depth analyses to uncover product, customer, and market insights that inform strategy and drive measurable business impact.Design, implement, and evaluate experiments - including A/B tests and advanced causal inference methods - to guide product decisions and optimize outcomes.Define, track, and evolve core metrics across product and business functions, building scalable dashboards and reporting frameworks that enable data-driven decision-making.Apply statistical and machine learning techniques to model user behavior, forecast trends, and identify opportunities for growth and optimization.Translate complex analyses into compelling stories, delivering clear recommendations to product managers, engineers, executives, and cross-functional partners.Partner with Engineering to co-develop data infrastructure, ensuring robust pipelines, reliable data sources, and scalable systems that power analytics and modeling.Lead cross-functional analytics initiatives that synthesize competitive dynamics, customer feedback, and market trends into actionable opportunities for the business.Champion a data-informed culture by establishing best practices, mentoring peers, and shaping the strategic role of data science at Harvey. What You Have5+ years of experience in quantitative roles operating in highly ambiguous environments, ideally as an early data scientist or product analyst within a hyper-growth product company or research organizationProven track record of designing, executing, and analyzing rigorous experiments using SQL and Python, with the ability to translate results into actionable product recommendations Experience defining, implementing, and operationalizing feature- and product-level metrics from the ground upStrong communication skills, with the ability to effectively partner with product managers, engineers, and executivesStrategic mindset capable of generating insights that extend beyond traditional statistical significance testing to inform long-term product and business directionBonusEarly employee at a hyper-growth startupExperience with or knowledge of AI and LLMsExperience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir)Compensation Range$180,000 - $225,000 USDPlease find our CA applicant privacy notice here.#LI-CL1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment. Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients. In this role, you'll help the team: Co-develop production-level data science projects with our customers Analyse and investigate various kinds of data and machine learning applications across industries and use cases Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality You might be a good fit for the role if you have: Curiosity and a desire to learn new topics and skills Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public The ability to clearly explain complex topics to technical as well as non-technical audiences 2 - 10 years of experience with Python and SQL 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn) Familiarity with data visualisation in Python, R Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL Technical skills that may help you in the role: Experience with Consulting and/or Customer-facing Data Science roles Experience with Data Engineering or MLOps Experience developing WebApps in Javascript, RShiny, or Dash Experience building APIs Experience using enterprise data science tools Passion for teaching or public speaking   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role We are seeking a skilled AI Buy-Side Finance Data Specialist to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to buy-side finance contexts. In this role, you will leverage your expertise in portfolio management, hedge fund strategies, private equity investments, venture capital deal sourcing, and high-frequency trading algorithms to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world buy-side finance dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. Responsibilities Utilize proprietary software to provide accurate input and labels for buy-side finance projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving portfolio management, hedge fund strategies, private equity investments, venture capital deal sourcing, and high-frequency trading algorithms. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for buy-side finance data. Select and analyze complex problems in buy-side finance fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability. Required Qualifications Professional experience in buy-side finance or related fields (e.g., portfolio manager, hedge fund analyst, private equity professional, venture capitalist, or high-frequency trading specialist). Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in buy-side finance. Preferred Qualifications Relevant certification or advanced training (e.g., CFA, CAIA, or similar finance-related certification). Experience mentoring or training others in buy-side finance or investment practices. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting. Location, Hourly & Other Expectations This position is based in Palo Alto, CA (in-office, 5 days per week) or fully remote with strong self-motivation required. US-based candidates cannot be hired in Wyoming or Illinois at this time. Visa sponsorship is not available. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training, and 9:00am - 5:30pm in their own timezone thereafter. For remote work, candidates must use a Chromebook, Mac with macOS 11.0 or later, or Windows 10 or later, and have reliable access to a smartphone. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleAs Lead Data Scientist at AirOps, you'll shape how brands win in AI-driven search environments through advanced machine learning and data science. This role combines technical depth with strategic thinking: you'll build production-grade ML systems that directly impact how companies create and optimize content for AI agents and improve their search visibility. You'll work at the intersection of NLP, search algorithms, and large language models to create solutions that help content teams drive measurable business results.This is a hands-on leadership position where you'll both architect systems and write code. You'll partner with product, engineering, and customer success teams to identify opportunities where ML can transform our platform's capabilities. Your work will directly influence how thousands of brands adapt to the rapidly changing search landscape where AI shapes discovery and engagement.Key ResponsibilitiesTechnical Leadership: Design and deploy end-to-end machine learning systems including NLP models, search and recommendation algorithms, and LLM-based applications. Search and Content Intelligence: Build ML systems that analyze AI search behavior, identify content opportunities, and predict performance across different AI-driven platforms. Create algorithms that help brands understand and optimize for how AI agents discover and rank content.Cross-functional Partnership: Collaborate with product managers to translate business requirements into technical solutions.Qualifications5+ years building production machine learning systems with demonstrated business impact; strong background in NLP and search/recommendation systems requiredDeep expertise across ML approaches: classical models (XGBoost, random forests), modern deep learning architectures (transformers, graph neural networks), and reinforcement learning systemsProven ability to take models from research to production, including optimization for latency and cost at scaleExperience with ML infrastructure and tooling: model serving frameworks, experiment tracking, feature stores, and monitoring systemsTrack record of technical leadership: influencing architecture decisions, improving team practices, and driving cross-functional projects without direct authorityExcellent communication skills with ability to explain complex technical concepts to non-technical stakeholders and align ML initiatives with business outcomesOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role We are seeking a skilled AI Legal and Compliance Data Specialist to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to legal and compliance contexts. In this role, you will leverage your expertise in regulatory compliance, contract analysis, legal research, and dispute resolution to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world legal and compliance dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. Responsibilities Utilize proprietary software to provide accurate input and labels for legal and compliance projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving regulatory compliance, contract analysis, legal research, and dispute resolution. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for legal and compliance data. Select and analyze complex problems in legal and compliance fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability. Required Qualifications Professional experience in legal, compliance, or related fields (e.g., compliance officer, lawyer, paralegal, legal secretary, judicial law clerk, arbitrator, mediator, administrative law judge, court reporter, or title examiner). Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in legal and compliance processes. Preferred Qualifications Relevant certification, license, or advanced training (e.g., JD, bar admission, Certified Compliance Professional, or similar legal/compliance certification). Experience mentoring or training others in legal or compliance practices. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting. Location & Other Expectations This position is based in Palo Alto, CA (in-office, 5 days per week) or fully remote with strong self-motivation required. US-based candidates cannot be hired in Wyoming or Illinois at this time. Visa sponsorship is not available. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training, and 9:00am - 5:30pm in their own timezone thereafter. For remote work, candidates must use a Chromebook, Mac with macOS 11.0 or later, or Windows 10 or later, and have reliable access to a smartphone. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. As an AI Tutor - Data Science specialist, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff  to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Regularly require you to interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must be either an IMO medalist (or similar competition medalist) or possess a Master's or PhD in a data science related field. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources, databases, and online resources are essential. You display outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. You have a strong passion for and commitment to technological advancements and innovation. Preferred Qualifications Possesses experience with at least one publication in a reputable journal or outlet. Has previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). You possess experience in technical writing, journalism, or a professional writing setting. Professional background as a Data Scientist Location, Hourly, and Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Tutor - Chemistry Specialist at xAI, you will be instrumental in enhancing our cutting-edge AI technologies by providing high-quality input and labels using specialized software. You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced chemical sciences to drive significant improvements in model performance. This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions—tasks with which you must be comfortable and eager to engage. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. The AI Tutor - Chemistry Specialist role is a remote full-time or part-time position (please see the bottom of this job description for more details). Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Collaborate with the technical staff to enhance the design of efficient annotation tools. Solve problems that help drive innovation in chemical sciences by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application. Choose problems from fields across chemistry that align with your expertise in specialized subdomains, including, but not limited to, organic chemistry, physical chemistry, analytical chemistry, inorganic chemistry, computational chemistry, polymer chemistry, nuclear chemistry, or medicinal chemistry, where you can confidently provide detailed solutions and evaluate model responses. Regularly interpret, analyze, and execute tasks based on given instructions. Required Qualifications Master’s or PhD in a chemistry-related field. Expertise in chemistry-related subdomains, including, but not limited to, Organic Chemistry, Physical Chemistry, Analytical Chemistry, Inorganic Chemistry, Organometallic Chemistry, Biochemistry, Nuclear Chemistry, Computational/Theoretical Chemistry, Polymer/Materials Chemistry, Medicinal Chemistry, Catalysis, Surface/Colloid Chemistry, or Drug Discovery. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources, databases, and online resources is essential. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation. Preferred Qualifications Advanced expertise in chemistry, demonstrated by multiple publications, including at least one first-author paper, in reputable peer-reviewed journals Previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). Experience in technical writing, journalism, or a professional writing setting. Location, Hourly, and Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only develop solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, providing user training, and co-developing data science projects from design to deployment. Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform on a daily basis. Aside from the visual tools, our team primarily uses Python, with occasional work in other languages (e.g., R, SQL, PySpark, JavaScript). An ideal candidate is excited to teach data science and how to use the Dataiku platform to customers, and learn about new technologies. Key Areas of Responsibility (What You’ll Do) Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support Co-develop production-level data science projects with our customers across different industries and use cases Provide strategic input to the customer and account teams that help our customers achieve success Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams Run demo booth/tech talk duties at company public events (e.g. Everyday AI) Contribute to internal assets (internal best practice or external blog post/project on the public gallery) Experience (What We’re Looking For) Curiosity and a desire to learn new topics and skills Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public The ability to clearly explain complex topics to technical as well as non-technical audiences 2-10 years of experience with Python and SQL 2-10 years of experience with building ML models and using ML tools (e.g., sklearn) Experience with LLM Experience with data visualisation and building web apps with Python frameworks (Dash, Streamlit) #LI-Hybrid #LI-AS2  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleAs Lead Data Scientist at AirOps, you'll shape how brands win in AI-driven search environments through advanced machine learning and data science. This role combines technical depth with strategic thinking: you'll build production-grade ML systems that directly impact how companies create and optimize content for AI agents and improve their search visibility. You'll work at the intersection of NLP, search algorithms, and large language models to create solutions that help content teams drive measurable business results.This is a hands-on leadership position where you'll both architect systems and write code. You'll partner with product, engineering, and customer success teams to identify opportunities where ML can transform our platform's capabilities. Your work will directly influence how thousands of brands adapt to the rapidly changing search landscape where AI shapes discovery and engagement.Key ResponsibilitiesTechnical Leadership: Design and deploy end-to-end machine learning systems including NLP models, search and recommendation algorithms, and LLM-based applications. Search and Content Intelligence: Build ML systems that analyze AI search behavior, identify content opportunities, and predict performance across different AI-driven platforms. Create algorithms that help brands understand and optimize for how AI agents discover and rank content.Cross-functional Partnership: Collaborate with product managers to translate business requirements into technical solutions.Qualifications5+ years building production machine learning systems with demonstrated business impact; strong background in NLP and search/recommendation systems requiredDeep expertise across ML approaches: classical models (XGBoost, random forests), modern deep learning architectures (transformers, graph neural networks), and reinforcement learning systemsProven ability to take models from research to production, including optimization for latency and cost at scaleExperience with ML infrastructure and tooling: model serving frameworks, experiment tracking, feature stores, and monitoring systemsTrack record of technical leadership: influencing architecture decisions, improving team practices, and driving cross-functional projects without direct authorityExcellent communication skills with ability to explain complex technical concepts to non-technical stakeholders and align ML initiatives with business outcomesOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role As an AI Tutor - Quantitative Finance, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced quantitative finance domains, with a focus on algorithmic investment strategies where your expertise can drive significant improvements in model performance.This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in quantitative finance. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from quantitative finance fields that align with your expertise, focusing on areas like portfolio optimization, derivatives pricing, or high-frequency trading backtests, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses. Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a Master's or PhD in a quantitative finance-related field (Quantitative Finance, Financial Engineering, Financial Mathematics, Applied Mathematics, Statistics, Economics with quantitative focus, or related disciplines) or equivalent professional experience as a quantitative trader or analyst. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various financial information resources, databases, and online resources (e.g., Bloomberg, Reuters, SEC filings). Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in quantitative finance. Preferred Qualifications Professional experience as a quantitative trader or analyst. Possesses experience with at least one publication in a reputable finance or economics journal or outlet. Teaching experience as a professor Familiarity with Python/R for financial scripting or ML libraries (e.g., QuantLib) FRM (Financial Risk Manager) CQF (Certificate in Quantitative Finance) PRM (Professional Risk Manager) CAIA (Chartered Alternative Investment Analyst) CFA (Chartered Financial Analyst) Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Who We're Looking For As a Senior Data Scientist in Delivery, you are an experienced problem solver and technical leader who is passionate about building practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embeds cutting edge AI models into tools that are useful and used. You've consistently tackled difficult problems that require strong foundations in data driven modelling and deep learning techniques, with extensive hands-on experience in probabilistic methods and predictive modelling. Your expertise in python, along with advanced proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with proven ability to architect and deploy scalable, production-ready models and data pipelines. With 3-5 years of industry experience (post Masters of PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about growing both your technical expertise and leadership skills, naturally taking ownership of complex data science work streams and guiding teams to success. You continuously improve the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.   This Role In this senior role, you'll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving, while providing technical leadership to your team. You'll build the foundations for successful, impactful solutions by: Leading pre-processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team. Architecting and developing innovative deep learning models in combination with state-of-the-art optimization methods to predict and control the behaviour of physical systems. Taking full responsibility for the quality, accuracy and impact of your work and the work of your team. Designing, building, and testing data pipelines that are reliable, scalable, and robustlyeasily deployable in production environments. Leading cross-functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations. Driving internal R&D and product development, helping to refine models and identify new areas of application. Mentoring junior team members and providing technical guidance to help them grow. Leading open communication and presentations with both technical teams and customers, helping onboard users and co-develop with customers. Representing PhysicsX as a technical authority when traveling to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter, where you'll collaborate closely with customers to build solutions on site. As a senior member of the team, you'll have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader. Please note, this role is based in Manhattan, NYC, working 2-3 days per week in our office.   Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!   What we offer  Equity options – share in our success and growth. 5% 401(k) match – invest in your future. Flexible working – balance your work and life in a way that works for you. Hybrid setup – enjoy our Manhattan office while keeping remote flexibility. Enhanced parental leave – support for life’s biggest milestones. Private healthcare – comprehensive coverage for you and your family. Personal development – access learning and training to help you grow. Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.   We believe diversity fuels innovation, and we're building a culture where everyone belongs. We're proud to be an equal opportunity employer, welcoming talent of all backgrounds, identities, and experiences. Changing the face of tech takes action, which is why we actively encourage individuals from historically underrepresented groups to apply.   Salary Range    $120,000 - 240,000 depending on experience  Seniority will be assessed throughout our interview process    We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.   

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We are seeking an Operational Analysis Lead to drive the modeling, simulation, and analysis of Shield AI’s autonomous aircraft systems. This role is pivotal in evaluating the mission effectiveness, survivability, and operational impact of our next gen UAS and other autonomous platforms. You will work closely with engineering, product development, and defense stakeholders to inform design trade-offs, assess system performance, and optimize mission capabilities. This position requires a deep understanding of military operations, wargaming, modeling & simulation (M&S), and operational analysis techniques. Your work will directly shape Shield AI’s strategy by identifying how our AI-powered aircraft can best serve the evolving needs of modern warfare. What you'll do: Develop and execute operational analysis strategies to assess the effectiveness of autonomous aircraft in real-world military scenarios.Lead modeling, simulation, and wargaming efforts to evaluate system performance, mission impact, and survivability in contested environments.Work closely with engineering teams to translate operational insights into design decisions and system improvements.Conduct trade studies and sensitivity analyses to assess system performance under varying operational conditions and threats.Utilize advanced modeling & simulation tools (e.g., AFSIM, STK, MATLAB, Python) to develop high-fidelity mission models.Analyze force-on-force engagements, sensor effectiveness, and autonomy-driven decision-making to optimize mission success.Collaborate with DoD stakeholders, operators, and warfighters to understand mission needs and align system capabilities with operational requirements.Develop and present technical reports, briefings, and recommendations to senior leadership, customers, and government agencies.Support concept of operations (CONOPS) development for new AI-driven aircraft capabilities.Identify emerging threats and operational challenges, ensuring Shield AI’s systems remain ahead of adversary capabilities. Required Qualifications:10+ years of experience in operational analysis, modeling & simulation (M&S), or military operations research.Expertise in military mission analysis, operational planning, and wargaming methodologies.Proficiency with AFSIM, STK, MATLAB, Python, or other M&S tools used for aerospace and defense applications.Deep understanding of air combat, ISR, electronic warfare, or autonomous systems in contested environments.Experience working with DoD stakeholders, warfighters, and government agencies to align capabilities with mission requirements.Strong analytical skills with the ability to interpret large datasets and translate findings into actionable insights.Excellent communication and briefing skills, with experience presenting to senior leadership, customers, and military personnel.Ability to work in a fast-paced, agile development environment with shifting priorities. Preferred Qualifications: Prior experience in force-on-force analysis, CONOPS development, or military campaign modeling.Familiarity with DoD acquisition processes, Joint Capabilities Integration and Development System (JCIDS), and military operational testing.Experience integrating AI-driven decision-making algorithms into operational analysis frameworks.Prior military service or experience working with U.S. Air Force, Navy, or Special Operations Forces.Active Secret or Top-Secret clearance (or ability to obtain one).

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What you'll be doing:As a Data Scientist in our Defence business unit you will be part of project teams that deliver bespoke algorithms to our clients across the Defence sector. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes.Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project.Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team.Who we're looking for: Proven experience in either a professional data science position or a quantitative academic fieldStrong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframeAn excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)A high level of mathematical competence and proficiency in statisticsA solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skillAn appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deploymentSome commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audienceExperience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to deliveryWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. As a Data Scientist at Dataiku, you will have the opportunity to participate in our customers' journeys, from supporting their discovery of the platform to coaching users and co-developing data science applications from design to deployment. You will work mostly for our customers in the financial services and insurance industries. You will get hands-on experience coding in multiple languages (mostly Python, occasionally R, SQL, Pyspark, JavaScript, etc.) and applying the latest big data technologies to business use cases. Our ideal candidate is comfortable learning new languages, technologies, and modelling techniques while being able to explain their work to other data scientists and clients.  Key Areas of Responsibility (What You’ll Do) Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help make our customers successful. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth. Experience (What We’re Looking For) French and English - fluent Curiosity and a desire to learn new technical skills. Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public. Ability to clearly explain complex topics to technical as well as non-technical audiences. Over 5 years of experience with coding (Python, R, SQL). Over 5 years of experience building ML models.   Understanding of underlying data systems and platform mechanics such as Cloud architectures, K8S, Spark, and SQL.  Bonus points for any of these Experience with Consulting and/or Customer-facing Data Science roles. Experience in the bank & insurance, or manufacturing industries. Experience with Spark, SAS, Data Engineering or MLOps. Experience developing web apps in JavaScript, RShiny, or Dash. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking. #LI-Hybrid  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the RoleAs a Data Scientist at Decagon, you’ll bring deep technical rigor to how data is analyzed, tested, and applied across the business. You’ll design and interpret experiments, apply advanced statistical methods, and build scalable analytical frameworks that directly inform product strategy and company performance.You’ll work across Engineering and Product to establish robust measurement practices, expand the use of data-driven decision making, and uncover insights that shape Decagon’s trajectory. This role blends strong analytical expertise with product acumen and the ability to influence at the highest levels.In this role, you willConduct deep-dive analyses using advanced statistical methods on user behavior, product performance, and business outcomes to surface actionable insights.Enhance and extend Decagon’s data models, metrics, and dashboards to ensure consistent, scalable reporting across teams.Design, implement, and analyze controlled A/B test experiments to measure product changes and customer experience.Collaborate with Product and Engineering to embed experimentation and measurement best practices into product development cycles.Build and continuously improve Decagon’s data stack, ensuring scalable models, pipelines, and tools that empower self-serve analytics across the company.Communicate findings clearly and persuasively to executives and cross-functional stakeholders, influencing strategic decision-making.Be the primary driver of experimentation culture at Decagon, helping define how we design, measure, and scale experiments across the business.What We're Looking For Strong ability to structure ambiguous problems, translate them into analytical approaches, and deliver business impact through data. Advanced proficiency in SQL and Python, with a solid foundation in statistics and experimental design. 5+ years (or equivalent experience) in data science or product analytics roles, ideally within high-scale consumer or marketplace products.A proven track record of designing, running, and analyzing experiments at scale. Excellent communication skills, with experience influencing stakeholders and driving decisions across teams.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation:$250k - $300k + equity

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  The Company You’ll Join  Amperon is a technology company at the intersection of energy data and AI. Specializing in data management infrastructure, coherent AI/ML models, and leading-edge predictive analytics, Amperon helps the full spectrum of power and utility companies to improve grid reliability, optimize asset economics, and accelerate decarbonization. With a commitment to grid modernization and decarbonization, Amperon is the forecasting company of the energy transition.  We bring the brightest minds from energy, security and technology in order to combat climate change and transition to clean energy solutions. We have an office in Houston, TX but are a remote-first company.    Our Strategy  Amperon seeks to modernize the grid data and AI software stack to improve reliability, optimize asset economics, and accelerate decarbonization for grid operators, asset owners, and end-users. We're building the next generation of market-leading energy analytics and forecasting products, and we want you to be part of our journey!    About The Role  We use machine learning and data analytics to analyze large volumes of data, uncover patterns, and make predictions that can be invaluable in the energy sector. Our team manages deep and valuable data around energy supply and demand that can lead to more efficient and sustainable energy systems. We are a small growing team with the opportunity to build high-velocity machine learning from scratch.    You’ll be  Implementing data validation and cleaning processes to identify and rectify errors or inconsistencies in the incoming data.  Building advanced time series forecasting models at scale.  Creating relevant features that can improve forecasting accuracy, such as lag features, rolling statistics, and domain-specific variables.  Continuously monitoring the training process and evaluating model performance on the validation set.  Deploying well-performing models into a production environment.  Analyzing historical data and real-time information to determine changes in energy consumption.    We Think This Role Would Be A Great Fit If You Have  Senior-level expertise with building machine learning algorithms.   Extensive experience with data collection and data processing.   Experience with techniques like data cleaning, normalization, and feature engineering to prepare the data for modeling.   Experience with time series analysis and predictive modeling. Experience with Python and other modeling tools.    Benefits & Perks  While we are serious about our company's culture, we aren't going to force "culture" to prove that we are cool and fun. It’s a company filled with smart, genuinely nice individuals who are passionate about data science, energy and working together to build a product that can have a lasting impact on our planet.  Even though we are a remote company with employees spread across the globe, we still believe human interaction is a good thing. We will also have an all-company event at least once a year so people can get to know each other in a more fun and social way.  Competitive salary plus stock option package  Medical, dental and vision insurance   Annual company retreat   Flexible PTO policy  Remote-first  If you are excited about contributing to a product that can have a lasting impact on our planet and you thrive in fast-paced, innovative environments, we would love to hear from you.  Salary: $120,000-$160,000