The opportunity
Directly supporting the Teva’s Data Science & Analytics and Patient Services teams, the Sr Manager, Data Scientist will be responsible for creating actionable insights from data to enhance best patient experiences; for identifying and analyzing data to measure patient journeys; for building machine learning / AI models to customize patient services.
This candidate will collaborate closely with Teva’s Patient Services team in Innovative Medicines to support our world-class vision. The candidate will engage with Patient Service team to explore innovative partners, identify data needs and requirements, and evaluate partner data. The candidate will leverage data science and advanced analytics, visualization and automation to provide data-driven insights, communicate meaningful findings, and drive business results.
Location: This is a hybrid role (3 days/week in office) based in our Parsippany, NJ office.How you’ll spend your day
All areas of responsibility listed below are essential to the satisfactory performance of this position by any incumbents with reasonable accommodation if necessary. Any non-essential functions are assumed to be included in other related duties or assignments.
The ideal candidate will closely work with the unit Leader and business partner to drive solutions that enable data-driven decision making.
Drive business value through data science and advanced analytics
Conduct exploratory data analysis to understand the strengths and limitations of complex data sets and identify the appropriate analytical approach
Design and manage complex analytical projects, breaking down complex business problems into multiple independent and sequential phases of analysis
Derive insights from data and present results to internal clients and senior management
Engineer and prepare data from disparate systems
Integrate and prepare large, varied datasets, design appropriate data science models and algorithms, and professionally communicate results
Implement ML models in production and track performance
Summarize key metrics for dashboard
