Data Scientist, Integrity Measurement
The data scientist will own measurement and quantitative analysis for several severe, actor- and network-based usage harm verticals, including estimating prevalence of on-platform and sometimes off-platform harms. They will develop and implement AI-first methods for prevalence measurement and other safety metrics using non-standard datasets if necessary, build metrics used for goaling or A/B tests, and own dashboards and metrics reporting for harm verticals. The role involves conducting analyses and generating insights to improve review, detection, or enforcement, optimizing LLM prompts for measurement purposes, collaborating with other safety teams to address safety concerns and create relevant policies, providing metrics for leadership and external reporting, and developing automation to scale their work using agentic products.
Data Scientist, Integrity Measurement
The data scientist will own measurement and quantitative analysis for a group of severe, actor- and network-based usage harm verticals. They will develop and implement AI-first methods for prevalence measurement and other productionised safety metrics, build metrics suitable for goaling or A/B tests when prevalence or other top line metrics are not appropriate, and own dashboards and metrics reporting for harm verticals. They will conduct analyses and generate insights to inform improvements to review, detection, or enforcement, and influence safety roadmaps. The role involves optimizing LLM prompts for measurement purposes, collaborating with other safety teams to understand key safety concerns and create relevant policies, providing metrics for leadership and external reporting, and developing automation to scale their work using agentic products. The position may involve resolving urgent escalations outside normal work hours and may require working with sensitive content including sexual, violent, or otherwise disturbing material.
Senior Data Scientist
As a Senior Data Scientist at Faculty, you will be responsible for designing and building AI-powered computational twins tailored for each unique Frontier deployment. You will lead data science efforts within cross-functional teams, collaborating with engineers, designers, and commercial leads to ensure project success. Your role involves deeply understanding core customer challenges to deliver significant real-world value, conducting rigorous exploratory data analysis, model building, validation, and performance monitoring. Additionally, you will support client relationships by partnering with the commercial team to shape strategic project direction and mentor other data scientists through task leadership and potential line management.
Data Scientist, Support
The Support Data Scientist will explore large support and product datasets to uncover trends, volume drivers, and user-experience pain points, distilling findings into clear, actionable narratives. They will build, enhance, and maintain self-serve dashboards and reporting tools for non-technical teams. The role involves establishing a unified metrics taxonomy for service-health and performance, and building automated data-sharing pipelines and scorecards with BPO partners. They will leverage LLMs to build bespoke classifiers to automatically label and segment inbound volumes, partner with Data Engineering to ensure reliable pipelines and data quality, and document sources of truth. The role also includes conducting deep-dive analyses and delivering strategic recommendations to leadership, prototyping rapidly with tools like ChatGPT and Jupyter notebooks, and collaborating with Data Science on predictive models and experimentation to translate results into operational recommendations.
Data Science Intern, Summer 2026
As a Data Science Intern at Crusoe, you will design and implement a robust data pipeline to ingest and preprocess large volumes of syslog data from diverse network devices, develop methods to group and normalize unstructured log messages, build statistical or machine learning-based baseline models to define normal behavior patterns across the network environment, and implement anomaly detection mechanisms for multiple time scales. You will create functional alerting or visualization mechanisms to communicate critical findings, evaluate and optimize signal quality to reduce false positives, document assumptions and system limitations, and collaborate with network and systems engineers to refine the relevance of detected anomalies.
Data Science Manager, Integrity
Lead and scale a high-impact Integrity Data Science team by hiring, coaching, and developing data science individual contributors and potentially future managers while setting a strong technical and cultural bar. Drive strategy across multiple Integrity domains including policy enforcement, bot detection, fraud prevention, intellectual property theft, risk measurement, and abuse prevention, balancing near-term response with durable systems. Build and institutionalize analytical rigor through clear metric frameworks, experimentation standards, monitoring and alerting systems, and repeatable evaluation approaches for Integrity interventions. Partner closely with Product and Engineering to shape roadmaps, prioritize projects, and translate ambiguous risk signals into practical product and platform decisions. Evolve team structure and operating model as the organization scales by defining ownership boundaries, improving processes, and creating leverage through better tooling and AI-assisted workflows. Enable cross-organization outcomes by supporting partners outside the Integrity team where integrity risks intersect with product and business goals. Communicate clearly with senior leadership to synthesize complex tradeoffs, surface risks, and drive alignment on priorities and success metrics. Push the team toward an AI-leveraged operating mode using modern tooling and model capabilities to accelerate detection, triage, analysis, and iteration.
Data Scientist - Network Value
Perform ad-hoc and strategic analyses to uncover opportunities for improved business outcomes and translate complex questions into actionable analytics projects. Design and maintain scalable data models and dashboards that increase visibility into core systems and drive operational excellence. Build and iterate on machine learning prototypes to power insight-driven products and unlock new sources of customer and business value. Define and track OKRs that quantify progress toward key business goals, ensuring alignment and accountability across teams. Design and analyze experiments to guide product decisions and optimize feature launches. Champion a data-first culture by promoting analytical rigor and evidence-based decision-making across the organization.
Staff Data Scientist | Content Gen
The Staff Data Scientist role involves leading the build and deployment of classical ML and GenAI systems to generate and validate billing error, audit, and fraud concepts in healthcare payments. The responsibilities include building and shipping ML and GenAI pipelines to identify and rank candidate billing error and fraud concepts across large-scale healthcare claims data, advancing research in anomaly detection, information retrieval, and weak supervision into production systems, designing human-in-the-loop workflows to accelerate concept generation and validation with subject matter experts (SMEs), owning end-to-end delivery from problem framing to deployment and monitoring with a focus on reliability and customer outcomes, partnering cross-functionally with product, data engineering, operations, SMEs, and business leaders to prioritize and execute work with financial impact, and helping to scale the team and platform as the company grows towards resale and IPO readiness.
Marketing Intern - Seoul
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 our customers achieve success. 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.
Marketing Intern - Tokyo
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 our customers achieve success. 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.
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