Senior Data Scientist

The Role

As a Senior Data Scientist on the Veeva Compass Patient team, you will be a founding data scientist that owns the greenfield design methodologies and models that tackle large scale complex health data issues. An example of opportunities for this role include:

• Tackle the unwinding of the "Super Patient" anomaly, a data-merging challenge causing abandonment of high-value clinical transactions. This person will be excited about having complete latitude to pioneer creative, inference-based models—leveraging techniques ranging from token entropy scoring to clinical transaction pattern recognition—to successfully unravel complex identity overlaps and salvage mission-critical data without relying on the raw PHI.
• Build a support structure for natural language search interface on top of medical and pharmacy claims data, for users to query data outside of traditional SQL-like query tools. This person will be excited about applying NLP, ML, and AI principles on a large data set and returning accurate, performant results across a variety of health data attributes.

You are excited about statistics and data science at scale on big data and taking billions of records to build algorithms in a computationally efficient and statistically effective manner while being able to keep the business problems we are working to solve in mind. You'll work closely with Product Managers, Data Analysts, and Engineering teams to design and deliver features, including performance measurement, anomaly detection, and quality monitoring.

This is a great opportunity to be at the forefront of innovation and help us solve some of the most challenging problems in healthcare data and analytics.

• Apply statistical, machine learning, and data mining techniques to large health data sets to build new products and methodologies.
• Collaborate closely with Product Managers, Analysts, Software Engineers, Data Engineers, and QA to discover and deliver product offerings from prototype to scale, then iterate and enhance.
• Build data science driven approaches to solve "known" core problems to the business, and conduct broader exploration to uncover the "unknown," and drive new improvement opportunities.
• Explore and find meaning in high volumes of data, identify signals and patterns to infer relationships from imperfect data. Important skills include querying, data cleansing, experiment design, solution assessment, and identifying scaling challenges.
• Rapidly build prototype product solutions, communicate findings, and iterate.
• Draw from prior experience and technical expertise to identify product improvements and inform testing plans; break overall objectives down into underlying problems that can be prioritized and solved.

• 4+ years of hands‑on data science and statistics experience (or 2+ years with a Ph.D. degree), demonstrating increasing responsibility and impact over time, including experience as the point person.
• M.S. or Ph.D. in Applied Statistics, Mathematics, Computer Science, Machine Learning or another quantitative discipline.
• Fluent in Python.
• Experience with healthcare data, including prescription/medical claims data, EHR data, Lab data, Specialty Pharmacy data, copay data.
• Strong analytical skills and curiosity.
• Experience in at least one framework for large datasets (e.g. Spark).
• Experience working with large quantities of data to develop models that work in a stable, production approach with live data.
• Experience working with engineering to productionalize models including scaling, monitoring, and documentation.
• Comfortable with ambiguity and breaking goals down into tangible and actionable work plans.
• Demonstrated ability to communicate statistical, mathematical, and computational concepts to audiences of varying technical levels.
• Ability to work independently and across internal teams.

• Experience in life sciences industry.
• Software engineering in a production environment.
• Software engineering in a commercial cloud environment.

• Medical, dental, vision, and basic life insurance.
• Flexible PTO and company paid holidays.
• Retirement programs.
• 1% charitable giving program.

• Base pay:…