Job Location: Sleepy Hollow, NY
Director – Data Science (Ophthalmology) role is a part of the Insights & Analytics team under Commercial Operations. As a part of the team, the role will collaborate with business partners, service owners and IS peers to develop predictive and prescriptive models and insights for Ophthalmology CBU within US Commercial Organization. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques to help Regeneron with its mission of getting patients the therapies they need.
This position will be primarily responsible for:
- Development of data science, machine learning, and artificial intelligence capabilities across therapeutic areas at Regeneron
- Being part of cross functional teams on projects and/or programs with aims to systematically derive insights that deliver substantial business value for Regeneron and our patients
- Identifying business needs and proposing potential analytics approaches for solutions
- Coach high performing analytics team on applications of various approaches
- Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python, R or SAS
- Creating prototypes and demonstrations to better access and utilize data assets
- Collaborating cross-functionally with stakeholders to develop use cases that are relevant to the business
- Responsible for managing and maintaining promotional response models and lead marketing mix and attribution modeling work
- Presenting analysis ideas, progress and results to business partners
- Ensuring systems meet business requirements and industry best practices
- Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets
Basic Qualifications:
Master’s degree completed by start date and 7+ years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
OR
Bachelor’s degree and 10+ years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
Preferred Qualifications:
- Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research
- Master’s degree & 7+ years of data science and analytics experience
- Experience with databases including relational, NoSQL, and Graph
- Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, Keras, TensorFlow, Pytorch, etc.
- Write well-abstracted and reusable code in Python, R, or Scala; freely navigate in Linux environment; stand up web applications; documentation, version control, and code review
- Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills
- Excellent organization/planning skills and talent for managing many large and complex datasets
- Ability to set up analytics bench/infrastructure to build data science capabilities
- Provide analytics guidance for brand performance analytics and internal team members
- Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end
- Ability to communicate analysis in a clear, precise, and actionable manner
- Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.)
- Passion for learning and staying on top of current developments in advanced analytics
- Biotech / Pharma experience required
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