Role Summary
Directly supporting Teva’s Data Science & Commercial Analytics, the Associate Director, Data Science will be responsible for developing AI/ML models to support US Commercial across all business units: including Innovative Medicines, Generics, Finance, Supply Chain, and Human Resources. The successful candidate will collaborate closely with US Commercial business leaders to advance data-driven decision-making by leveraging internal and external datasets, building AI/ML models, and delivering actionable insights. The role is critical to leading the design, development, and deployment of advanced solutions to drive strategic growth, operational efficiency, and financial performance.
Responsibilities
- The ideal candidate will closely work with the unit leaders and business partners to deliver analytical solutions that enable informed decision-making.
- Lead a team of 2-4 data scientists
- Drive business value through data science and advanced analytics initiatives
- Design and manage complex analytical projects, breaking down complex business problems into multiple independent and sequential phases of analysis
- Evaluate internal and external datasets to assess their strengths and limitations
- Determine optimal analytical methodologies, models, and algorithms, and develop best-in-class solutions
- Extract actionable insights from data and present findings to key internal stakeholders and senior management
- Deploy ML models in production and integrate them into core business processes
- Monitor model performance and implement necessary refinements
Qualifications
- Required: Master’s Degree in a highly technical/quantitative discipline (Statistics, Computer Science, Data Science, Mathematics)
- Required: Minimum of 5 years of practical experience developing and deploying AI/ML and LLM solutions within cloud environments such as Azure
- Required: At least 2 years of people management experience
- Required: Advanced proficiency in Python/SQL for data manipulation, analysis and modeling
- Required: Demonstrated data curiosity, analytical skills and problem-solving abilities
- Required: Proficiency in bringing structure to ambiguous problems and deriving insights from multiple data and information sources
- Required: Effective communication skills to translate complex concepts and analyses for both technical and non-technical audiences
- Required: Strong project management skills
- Required: Superior written and verbal communication abilities
- Required: Knowledge of the pharmaceutical landscape, including both branded and generic products, and associated commercial analytical requirements
- Required: Excellent interpersonal skills and a collaborative approach to teamwork
- Required: Capacity to adapt quickly to evolving priorities and develop innovative solutions in a dynamic, multi-tasking setting
- Preferred: PhD degree in Statistics, Computer Science, Mathematics, or Biostatistics
- Preferred: Relevant experience within the pharmaceutical commercial business
Skills
- Analytical thinking and problem-solving with the ability to translate data findings into business insights
- Effective communication to diverse audiences
- Strong collaboration and teamwork
- Capability to manage multiple priorities in a dynamic environment
Education
- Master’s Degree in Statistics, Computer Science, Data Science, Mathematics
- PhD degree in Statistics, Computer Science, Mathematics, or Biostatistics
Additional Requirements
- This role is based on-site in the Parsippany, NJ office 3 days a week