Senior Data Scientist 167 views

Job Description

Veev is the leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, our customers range from the world’s largest pharmaceutical companies to emerging biotechs. Veeva’s software helps our customers bring medicines and therapies to patients faster.

Veeva is a Work Anywhere company which means that you can choose to work in the environment that works best for you – on any given day. Whether you choose to work remotely from home or work in an office – it’s up to you.

The RoleAs 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 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 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

eeva [NYSE: VEEV] is the leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, our customers range from the world’s largest pharmaceutical companies to emerging biotechs. Veeva’s software helps our customers bring medicines and therapies to patients faster.We are the first public company to become a Public Benefit Corporation . As a PBC, we are committed to making the industries we serve more productive, and we are committed to creating high-quality employment opportunities.Veeva is a Work Anywhere company which means that you can choose to work in the environment that works best for you – on any given day. Whether you choose to work remotely from home or work in an office – it’s up to you.The RoleAs 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