Senior Data Scientist

Veeva; New York (NY); On-site; USD 135,000 - 185,000; Full time

Benefits offered by this job

Medical, dental, vision, and life insurance

Flexible PTO

Retirement programs

Charitable giving program

Job summary

Veeva is looking for a Senior Data Scientist for the Compass Patient team in New York, NY. This role involves tackling complex health data challenges, collaborating with cross-functional teams, and building innovative data science methodologies.

The ideal candidate will have over 4 years of experience or a Ph.D. in a quantitative field, be fluent in Python and have expertise in healthcare data. The position offers a competitive salary, flexible PTO, and various benefits.

Qualifications

• 4+ years of hands-on data science experience, or 2+ years with a Ph.D.
• Experience with large-dataset frameworks and building production-grade models.
• Ability to communicate complex concepts clearly.

Responsibilities

• Tackle complex health data challenges.
• Collaborate with various teams to deliver features.
• Explore high-volume data to identify patterns and signals.

Skills

Data science

Statistics

Python

Healthcare data

Education

M.S. or Ph.D. in Applied Statistics, Mathematics, Computer Science, or Machine Learning

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. Your responsibilities include:

• Tackle the unwinding of the "Super Patient" anomaly, a data‑merging challenge causing abandonment of high‑value clinical transactions.
• Build a support structure for a natural‑language search interface on top of medical and pharmacy claims data, enabling users to query data beyond traditional SQL‑like tools.
• 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 deliver features from prototype to scale, then iterate and enhance.
• Build data‑science driven approaches to solve core business problems and conduct broader explorations to uncover unknown opportunities.
• Explore high‑volume data, identify signals and patterns, performing data cleansing, experiment design, solution assessment, and scaling analysis.
• Rapidly prototype product solutions, communicate findings, and iterate.
• Guide product improvements and testing plans by breaking objectives into prioritizable problems.

Qualifications

The candidate should have the following qualifications:

• 4+ years of hands‑on data science and statistics experience (or 2+ years with a Ph.D.) with increasing responsibility and impact.
• 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, EHR, lab, specialty pharmacy, and copay data.
• Strong analytical skills and curiosity.
• Experience with large‑dataset frameworks such as Spark.
• Experience building production‑grade models that work with live data, including scaling, monitoring, and documentation.
• Comfortable with ambiguity and breaking goals into actionable work plans.
• Demonstrated ability to communicate statistical and computational concepts to audiences of varying technical levels.
• Ability to work independently and across internal teams.
• Experience in the life sciences industry (preferred).
• Software engineering experience in a production environment and 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.

Base pay: $135,000 - $185,000. Salary ranges are provided to comply with local regulations and may vary depending on experience, location, and other factors. This position may also be eligible for variable bonuses or stock bonuses.

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].