Senior Data Scientist jobs in Los Angeles, CA

Lead and execute HEOR and real-world evidence projects in collaboration with external partners and internal stakeholders. Develop analytical infrastructure and translate complex research findings into clinically actionable insights.

The role focuses on establishing and expanding partnerships with pharmaceutical and biotechnology clients to drive revenue for Tempus data solutions. You will act as a scientific advisor, collaborating with internal teams to develop targeted research and commercial solutions for client accounts.

Lead the design and execution of real-world evidence analyses for pharmaceutical partners to support drug development and clinical research. Collaborate cross-functionally to derive complex endpoints and integrate AI tools to enhance data quality and analytical workflows.

The role involves modeling and transforming raw EHR and claims data into analytics-ready datasets using SQL and Python, while building and managing scalable data pipelines with tools like Dagster, dbt, and Snowflake. Additionally, the engineer will conduct hands-on Real World Data (RWD) analyses to answer scientific research questions and support decision-making across the drug portfolio.

The Senior Data Scientist will lead end-to-end yield optimization initiatives for Azure infrastructure by framing complex business problems and translating data into actionable pricing strategies. They will partner with cross-functional teams to influence decision-making through rigorous experimentation, causal inference, and statistical modeling.

You will lead the end-to-end scoping, development, and deployment of machine learning solutions to address complex operational business challenges. The role involves working directly with clients to translate technical insights into measurable results while mentoring other data scientists.

You will partner with cross-functional leaders to shape the growth strategy, size opportunities, and prioritize the product roadmap. Additionally, you will own the growth funnel metrics and design experiments to drive customer acquisition, activation, and retention.

The consultant will design and validate optimization, simulation, and forecasting models to improve supply chain performance. They will also build analytical solutions using Python and SQL while collaborating with stakeholders to define business objectives.

The Senior Data Scientist will perform analytics using data science techniques and communicate insights to business stakeholders. They will also lead client engagement workstreams focused on process improvement, optimization, and operational transformation.