Leads the research agenda and hands-on development of replayable enterprise environments, agent evaluations, and post-training systems. The role requires deep AI research experience, a PhD or equivalent track record, and the ability to translate open-ended questions into production systems.

This role combines data analysis and dbt-based data modeling to improve growth, monetization, pricing, and product-led sales initiatives. It requires 8+ years in an analytical data role, strong SQL and dbt knowledge, and experience with data warehouses and ELT pipelines.

Own the datasets and evaluation workflows supporting AI safety, from collection and labeling through production model assessment. The role requires practical Python and SQL skills, strong dataset judgment, and cross-functional collaboration with policy, engineering, and research teams.

Leads the design, implementation, integration, and field validation of tactical autonomy and multi-agent coordination capabilities for unmanned platforms. Requires 7+ years of relevant experience, production C++, technical leadership, and eligibility for a U.S. Secret clearance.

Builds and optimizes scalable data pipelines, storage, and OLAP databases for ML training, analytics, and product features. Requires 5+ years in data engineering, proficiency in Python/SQL/cloud platforms, and distributed systems experience.

Leads design, implementation, integration, and field validation of tactical autonomy software for unmanned systems and multi-agent missions. Requires extensive autonomy or robotics experience, strong C++ and Python skills, and the ability to obtain a SECRET clearance.

Design and deploy tactical autonomy algorithms and high-performance software for unmanned systems operating in complex, contested environments. The role requires 5+ years of related experience, strong C++ and Python skills, robotics expertise, and the ability to obtain a SECRET clearance.

Build and productionize generative AI applications for U.S. federal customers, advise clients, and influence product direction. The role requires extensive data science and machine learning deployment experience, a graduate quantitative degree or equivalent experience, and U.S. security clearance eligibility.

The Insights Strategist will analyze AI Search data, build recurring measurement systems, investigate changes in visibility and model behavior, and translate findings into product and customer recommendations. The role requires 5+ years of analytical experience, strong SQL, sound judgment, and excellent communication skills.

The Data Scientist will develop and productionize algorithms for routing, travel-time estimation, and traffic detection using geospatial, behavioral, and mobility data. The role requires 3+ years of production machine learning or data science experience and strong quantitative expertise.

Build and scale production machine-learning pipelines and evaluation systems powering generative AI music experiences. The role requires hands-on LLM, prompt-engineering, data-pipeline, cloud, and user-facing product experience.

Senior Data Analyst building scalable financial data models, pipelines, dashboards, and governance systems for Finance and Accounting. Requires a bachelor’s degree, 5+ years of analytics experience, and strong SQL, Snowflake, dbt, and BI expertise.

Conduct research and build open foundation models and training systems aimed at accelerating scientific discovery. The role requires a PhD-level background and substantial experience training foundation models, with expertise in agentic training or multimodal data preferred.

Leads qualitative and quantitative market research in healthcare, translating customer, market, and competitive data into recommendations for product, marketing, and growth strategy. Requires five years of healthcare market research experience, advanced analytics, strong presentation skills, and proficiency with Excel, PowerPoint, Power BI, and AI solutions.

Own Ramp’s AI-focused economic research and build a customer-facing economics function using large-scale business spend data. The role requires 5+ years as a data scientist or economist, strong SQL and BI expertise, rigorous writing, data visualization, and executive communication.

Analyzes large-scale datasets from AI model evaluations to uncover patterns, biases, and causal relationships. Designs experiments, builds pipelines with Python/Pandas/Spark, and collaborates with ML teams on metrics and insights. Requires 6+ years in data science/ML analytics.

Senior data platform engineer who scales infrastructure, automates data delivery, builds AI-enabled analytical tools, and leads cross-functional engineering initiatives. Requires 4+ years of data infrastructure experience, strong Kafka and distributed-systems expertise, and proficiency in Python, Scala, cloud platforms, and Terraform.

Senior data engineer who will set architecture standards, lead large-scale pipeline initiatives, and build reliable cloud-native data platforms on AWS. The role requires expertise in orchestration, batch and streaming systems, infrastructure as code, and modern data architectures.

Leads the data engineering team and platform strategy, overseeing pipelines, warehousing, governance, reliability, and data products supporting clinical operations and company decisions. Requires 7+ years across data engineering and people management, including 3+ years directly managing data engineers.

Monitors and trades sports player projections across pre-game and live markets, managing risk through quantitative analysis and adapting operations to sports schedules. Strong mathematical, analytical, and sports-gaming knowledge is required; DFS or sports-gaming experience is preferred.

Leads a team responsible for customer data quality, developing roadmaps, processes, outsourcing strategies, metrics, and dashboards while partnering with GTM, engineering, systems, and executive stakeholders. Requires 7+ years of relevant operations or consulting experience and strong analytical skills.

Build and operate distributed infrastructure and ML platform primitives that help researchers and product engineers move from experiments to trusted runs on large-scale compute. The role requires production systems experience, strong infrastructure skills, and close collaboration with ML research teams.

Leads the technical strategy and engineering execution required to achieve driverless freeway operation for autonomous vehicles. Requires 10+ years of software experience, demonstrated freeway autonomy leadership, deep expertise in an autonomy domain, and strong executive communication skills.

Staff Data Scientist on the Risk team driving experimentation, statistical inference, and causal analysis to inform strategic decisions. Requires 7-10 years of DS experience, strong SQL/Python, and proven impact influencing leadership.

Build the technical foundation for a new business vertical, creating reusable infrastructure and leading early customer engagements from scoping through delivery. The role requires 3+ years of engineering experience, strong Python and SQL skills, backend/data expertise, and comfort operating in ambiguity.

Build production-grade AI agents, evaluation infrastructure, and developer tooling that make AI-assisted engineering faster, safer, and reusable across teams. The role requires software engineering experience, platform or internal developer-product experience, and hands-on expertise with LLM integration and orchestration.

Build and own trusted marketing analytics data models and pipelines supporting attribution, paid marketing, SEO, and retailer marketing. The role requires 3+ years of analytics or data engineering experience, strong SQL and dimensional modeling skills, and hands-on experience with dbt, Snowflake, and Airflow.

Build and scale secure, cloud-native data pipelines and orchestration systems for healthcare imaging, biomarkers, analytics, and AI. The role requires Python, SQL, Airflow or similar orchestration, cloud platforms, Databricks, and distributed processing experience.

Lead analytics for Lyft’s airport marketplace by conducting product and business deep dives, defining health metrics, building dashboards and models, and influencing pricing, supply, and product decisions. Requires 4+ years of strategic analytics or data science experience, strong SQL, quantitative analysis, and cross-functional communication.

People Data Scientist focused on AI fairness and bias testing for People systems. Designs algorithmic audits, validation studies, and fairness infrastructure across the employee lifecycle. Requires deep expertise in fairness metrics, statistical modeling, and Python/R/SQL.

Build and expand customer-facing agentic AI products, MCP integrations, and automated reconciliation workflows for private fund management. The role requires senior-level software engineering, strong systems thinking, product judgment, and hands-on experience building and evaluating AI systems.

Leads the roadmap and technical vision for Snowflake Feature Store, building reliable, high-performance machine learning platform capabilities and supporting technical execution across partner teams. Requires 10+ years of experience with data-serving infrastructure or ML platforms, plus Java and Python expertise.

Build and operate large-scale revenue data pipelines powering billing and cost attribution, while improving reliability, latency, and correctness. The role requires strong Spark and Airflow experience, cross-functional problem-solving, and operational ownership of mission-critical production systems.

Leads predictive and causal modeling, experimentation, and measurement initiatives that drive personalization, retention, monetization, and product strategy. Requires 8+ years of data science or applied analytics experience, strong statistical expertise, SQL and Python proficiency, and experience with large-scale data systems.

Build and advance agentic machine-learning systems for multimodal creative tasks, with a focus on video understanding, reasoning, control, and tool use. The role requires strong production ML or agent-pipeline experience and deep knowledge of modern LLM techniques.

Build and operate scalable MLOps infrastructure for distributed training and inference across on-premises and GPU environments. The role partners with data science and AI teams and requires production experience with Python, Spark, Docker, Kubernetes, and open-source MLOps tooling.

Senior Data Scientist supporting user growth by embedding with product teams, guiding experimentation and data-informed decisions, and building analyses, dashboards, and scalable models. Requires strong quantitative communication, SQL, Python or R, machine learning, and a graduate degree or equivalent expertise.

Senior Data Scientist responsible for advancing and delivering trustworthy user-growth forecasts, partnering with Product, Finance, and Strategy to influence business decisions. Requires strong forecasting experience, quantitative expertise, SQL and Python proficiency, and excellent communication skills.

Leads the design and development of scalable analytic data infrastructure, including the foundation for Celonis’s Digital Twin. Requires 10+ years of analytics or data engineering experience, enterprise Databricks expertise, and strong stakeholder communication.

Develop statistical and machine learning models, experimentation, visualizations, and foundation-model solutions to deliver operational insights and support strategic decisions. Requires a bachelor’s degree and 3+ years of relevant analytics or data experience in SaaS or enterprise software.

Conducts deep technical research into cloud- and AI-native environments to identify novel risks and attack vectors, then translates findings into product capabilities with Product and Engineering teams. Requires at least five years of security research experience and strong scripting and telemetry-analysis skills.

Build modular AI operations and evaluation systems that power complex real estate workflows. The role focuses on improving output quality, defining correctness with domain experts, and reducing human review while maintaining high standards.

Build and operate Dougie, an agentic AI system that executes workflows, evaluates its own performance, retains institutional context, and improves in production. The role requires experience deploying unattended agentic systems and engineering reliable memory, retrieval, orchestration, and feedback loops.

Build and ship production agentic AI workflows for complex real estate and built-world processes. The role combines product engineering, applied AI, customer collaboration, workflow orchestration, evaluation, and reliable user-facing experiences.

Research and engineer security measures for LLM-powered web agents and chatbots, including adversarial testing, secure architectures, model evaluation, and security-focused training. The role requires strong Python and ML expertise, AI security experience, and preferably a computer science Ph.D.

Build ETL pipelines, predictive models, dashboards, and scenario analyses to improve demand forecasting, inventory, supplier risk, and operational decision-making. The internship requires strong analytical skills, Excel proficiency, and pursuit of a relevant degree.

Supports analytics, KPI tracking, reporting, and structured data infrastructure across operational teams. The role maintains datasets, queries, dashboards, and recurring reports while helping stakeholders measure workforce and contractor performance consistently.

Staff Data Engineer leading data platform initiatives across batch, streaming, real-time pipelines, data lake infrastructure, governance, and privacy. Requires 5+ years of data engineering experience, strong Spark and distributed processing expertise, and the ability to lead complex production systems.

Leads Attain’s data science methodology and team, owning defensible measurement, causal inference, attribution, and modeled consumer-data products. The role requires deep AdTech/MarTech expertise, strong statistical and Python skills, client-facing credibility, and at least 10 years of experience.

Develops experimental AI techniques and prototypes for agentic marketing applications, with emphasis on image and video generation. The role requires strong backend or probabilistic systems expertise, quantitative thinking, creativity with LLM applications, and product intuition.