Senior Data Scientist

Veeva; Boston (MA); On-site; USD 135,000 - 185,000; Full time

Benefits offered by this job

Medical, dental, vision, and life insurance

Flexible PTO and company paid holidays

Retirement programs

1% charitable giving program

Job summary

Veeva is looking for a Senior Data Scientist to work on the Veeva Compass Patient team in Boston, Massachusetts. In this role, you will tackle complex health data issues using innovative methodologies and models.

Your responsibilities will include applying machine learning techniques to large health datasets and collaborating with various teams. A strong background in data science and experience with healthcare data is essential. The position offers a competitive salary and benefits.

Qualifications

• 4+ years of hands‑on data science and statistics experience.
• Fluent in Python with experience in healthcare data.
• Strong analytical skills and curiosity.

Responsibilities

• Apply statistical, machine learning, and data mining techniques to large health data sets.
• Collaborate closely with Product Managers, Analysts, and Engineers.
• Build data science driven approaches to solve core business problems.

Skills

Data science

Statistics

Python

Machine Learning

Healthcare data analysis

Data cleansing

Education

M.S. or Ph.D. in Applied Statistics, Mathematics, or related field

Tools

Spark

Job description

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.

Responsibilities

• 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 more broad exploration to uncover the “unknown,” and drive new improvement opportunities
• Explore and find meaning in high volumes of data, identify signals and patterns to identify relationships to infer the universe 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

Qualifications

• 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

Preferred Experience

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

Benefits

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

Compensation

Base pay: $135,000 - $185,000

The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.

Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [e-mail].