Associate Director, Data Science
Scorpion Therapeutics, Parsippany, New Jersey, United States
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
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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
#J-18808-Ljbffr