Senior Data Scientist

Key Skills

Analytical and Problem solving, Data science techniques, Large data sets, Mathematics, Python Programming, Spark Core, Statistics

Job Description

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 $2B 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 apublic benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

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

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

The Role

As a Data Scientist on the Veeva Compass team, you will own the design of Machine Learning and Statistical models that power the Projected Data Products. 

You are excited about statistics and data science at scale on big data and taking billions of records to buildalgorithms 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 extensive health data sets to build new products and methodologies

• Collaborate closely with a team of Data Scientists, Product Managers, Software Engineers, and Data Engineers to discover and deliver product offerings from prototype to scale, then iterate and enhance 

• 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 

• 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 with prescription / medical claims data

• Experience in health/life science industry

• Software engineering in a production environment

• Software engineering in a commercial cloud environment

Perks & Benefits

• Flexible PTO

• Allocations for continuous learning & development

• Health & wellness programs

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 talent_accommodations@veeva.com. Position may not be eligible for remote work in Colorado.