The Director, Data Science (Ophthalmology) role is a part of the Insights & Analytics team under Commercial Strategy. In this role, a typical day might include: As a part of the team, the role will collaborate with business partners, service owners and IT 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 role might be for you if you can: Leveraging data science, machine learning, and artificial intelligence capabilities drive marketing and sales execution effectiveness for the Ophthalmology CBU.

Contributing to cross functional teams (Insight & Analytics organization) on projects and/or programs with aims to derive integrated insights that deliver substantial business value to Ophthalmology CBU patients.

Identifying business needs and proposing potential analytics approaches for solutions.

Manage high performing internal/external analytics team to ensure key projects are delivered with timely and key business insights/actions.

Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python, R, SAS, SQL and/or other tools.

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.

To be considered for this opportunity, you must have the following: Master's degree completed by start date and 10+ years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR Bachelor’s degree and 12+ years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience

Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research

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