Senior Data Scientist

Veeva

Senior Data Scientist

Posted Yesterday

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Hiring Remotely in Boston MA USA

In-Office or Remote

135K-185K Annually

Senior level

Big Data • Cloud • Healthtech • Software • Big Data Analytics

The software company powering the path to the world’s new medicines.

The Role

Design and deploy scalable statistical and machine learning models on large health datasets (claims EHR pharmacy). Prototype NLP search resolve identity/merge anomalies collaborate with product engineering and analytics to productionalize models monitor performance and drive data-driven product improvements.

Summary Generated by Built In

Veeva Systems is a mission-driven organization and pioneer in industry cloud helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing Customer Success Employee Success and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC) legally bound to balancing the interests of customers employees society and investors.

As a Work Anywhere company we support your flexibility to work from home or in the office so you can thrive in your ideal environment.

Join us in transforming the life sciences industry committed to making a positive impact on its customers employees and communities.

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.

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

Perks & Benefits

Medical dental vision and basic life insurance

Flexible PTO and company paid holidays

Retirement programs

1% charitable giving program

Compensation

Base pay: $135000 - $185000

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.

#LI-Remote#LI-MidSenior

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

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 [email protected].

Skills Required

4+ years of hands-on data science and statistics experience (or 2+ years with a Ph.D degree)
M.S. or Ph.D. in Applied Statistics Mathematics Computer Science Machine Learning or another quantitative discipline
Fluent in Python
Experience with healthcare data (prescription/medical claims EHR lab specialty pharmacy copay)
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
Strong analytical skills and curiosity
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

Veeva Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Veeva and has not been reviewed or approved by Veeva.

Equity Value & Accessibility—Equity is broadly distributed across the company positioning most employees as shareholders. Stock-based incentives can materially enhance total compensation particularly at higher seniority.
Flexible Benefits—Work Anywhere enables remote-first flexibility with options to use offices and to gather through offsites or coworking weeks. This structure supports collaboration while minimizing rigid on-site requirements.
Healthcare Strength—Core coverage includes medical dental vision HSA/FSA life and disability and EAP. Supplemental perks such as commuter assistance and wellness or gym reimbursements are available in some locations.

Learn more about Veeva's Compensation & Benefits →

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The Company

HQ: Pleasanton CA

6000 Employees

Year Founded: 2007

What We Do

Veeva is the global leader in cloud software for the life sciences industry. Committed to innovation product excellence and customer success Veeva serves more than 1000 customers ranging from the world’s largest pharmaceutical companies to emerging biotechs. As a Public Benefit Corporation Veeva is committed to balancing the interests of all stakeholders including customers employees shareholders and the industries it serves.