Regeneron's Ophthalmology CBU within the US Commercial Organization needs to develop predictive and prescriptive models and insights to drive marketing and sales execution effectiveness and deliver substantial business value to patients through the strategic use of advanced analytics techniques.
Requirements
- 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
- Ability to set up analytics bench/infrastructure to build data science capabilities
- 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
- Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research
Responsibilities
- Collaborate with business partners, service owners and IT peers to develop predictive and prescriptive models and insights for Ophthalmology CBU within US Commercial Organization.
- 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.
- 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.
- Responsible for managing and maintaining promotional response models and lead marketing mix and attribution modeling work.
Other
- Manage high performing internal/external analytics team to ensure key projects are delivered with timely and key business insights/actions.
- Collaborating cross-functionally with stakeholders to develop use cases that are relevant to the business.
- 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.
