Senior Data Engineer, People Analytics
Build and maintain resilient ETL pipelines to centralize data from core HCM and ATS systems into Google Cloud Platform, Big Query, and other people analytics products. Architect a semantic data layer using dbt to translate raw database schemas into business-friendly logic, enabling non-technical leaders to ask natural language questions and get accurate answers. Leverage AI and LLMs to extract insights from unstructured data and build predictive models for attrition and headcount planning. Design data products that solve operational problems by automating HR workflows, building custom apps for internal mobility, or redesigning organizational structure. Partner with Talent, Finance, and People leaders to translate business questions into data inquiries and consult on analytics possibilities. Design and deploy Sigma workbooks to guide executives through complex narratives to ensure data-driven action.
Marketing Intern - Singapore
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 customers achieve success. Scope and co-develop production-level data science projects with customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.
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.
Software Engineer, Data & Retrieval
The Software Engineer is responsible for utilizing the Agent Development Kit (ADK) to design, develop, and deploy autonomous agents and "skills" capable of multi-step data retrieval tasks. They design and develop backend systems and APIs to expose bioinformatics data and implement advanced search and retrieval mechanisms to provide LLMs with up-to-date grounded information. Their duties include tuning storage technologies, creating high-performance query plans, designing solutions, and adapting existing approaches to solve issues within web app architecture and interfaces. They operationalize production-grade data pipelines using processing engines like Apache Beam, collaborate with other engineers to address document extraction, enrichment, and retrieval challenges, and model scientific experiments from unstructured data. The engineer also troubleshoots and resolves production issues promptly, ensures code is testable, self-documenting, and reliable, communicates decisions to impacted teams, works on client-facing projects with large pharmaceutical companies, and balances independent work with collaborative efforts for complex architectural changes.
ML Systems Engineer (Platform & Biometrics Data Infrastructure)
Build and operate high-throughput pipelines for sensor and event data (batch and streaming) ensuring quality, lineage, and reliability. Create scalable dataset curation and labeling workflows including sampling, slice definitions, weak supervision, gold-set management, and evaluation set integrity. Develop ML platform components such as feature pipelines, training orchestration, model registry, reproducible experiment tracking, and automated evaluation. Implement monitoring and observability for production ML systems covering data drift, performance regression, alerting, and automated failure detection. Standardize schemas and interfaces across studies and product telemetry to enable reusable, consistent analytics and model development. Collaborate cross-functionally with ML engineers, data science, firmware, and backend teams to support new studies and product launches, ensuring data architecture meets evolving research and product needs.
Data Integration Lead | R&D
Lead a team of 5-6 engineers to ensure all services, platforms, and teams within the SaaS product have accurate and up-to-date scorecards that provide actionable insights and support continuous improvement. Build and maintain reliable processes to keep platform and service inventory data accurate and current. Provide technical leadership and mentorship to engineers through complex system design decisions and drive technical excellence. Architect and implement a self-improving and self-healing data processing model, large-scale, reliable data pipelines, and AI/ML-enabled systems ensuring high performance, scalability, and data quality. Lead the development of data warehousing and analytics solutions such as BigQuery or Snowflake. Collaborate with stakeholders to translate business needs into scalable data and ML solutions while operating effectively in a fast-paced environment. Promote scorecard usage across the organization via workshops, manuals, and internal communications.
Senior Data Scientist, Marketing
The Senior Marketing Data Scientist will partner closely with Harvey’s Marketing organization to build the marketing data science function from the ground up. Responsibilities include embedding deeply with the Marketing organization as a trusted partner to identify opportunities to improve performance and drive growth, defining, tracking, and evolving core metrics across marketing and business functions, and building scalable dashboards and reporting frameworks that enable data-driven decision-making. The role involves designing, implementing, and evaluating models such as multi-touch attribution, marketing mix modeling, and incrementality for comprehensive Marketing Channel and Campaign performance and contribution. The Senior Data Scientist will apply statistical and machine learning techniques to model user behavior, forecast trends, and identify opportunities for growth and optimization. They will translate complex analyses into compelling stories with clear recommendations for cross-functional partners and executives, partner with Marketing, RevOps, and GTM Systems to co-develop data infrastructure ensuring robust pipelines, reliable data sources, and scalable systems to power analytics and modeling. The role also includes leading cross-functional analytics initiatives to synthesize competitive dynamics, customer feedback, and market trends into actionable business opportunities and championing a data-informed culture by establishing best practices, mentoring peers, and shaping the strategic role of data science at Harvey.
Senior Engagement Manager
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 customers achieve success. Scope and co-develop production-level data science projects with customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.
Infrastructure Engineer
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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