Senior Data Scientist

What You'll Do

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

Requirements

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

Nice to Have

Experience in life sciences industry

Software engineering in a production environment

Software engineering in a commercial cloud environment

Interviewing with Veeva

We value your time and believe in a transparent hiring process. Here is the process you can expect.

Follow the application process and submit your resume.

Within 3 days, you will receive a link to a personality assessment administered by a third party.

Once you complete the assessment, our team will review your full application package and follow up via email with our decision.

If moving to the interview stage, the process is as follows:

A conversation with the hiring manager

A practical case exercise

A final conversation with our group's Senior Leader.

Once all interviews are complete, the manager will be in touch with a final decision.

Perks & 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.