Top Senior Level Data Science Jobs in Philadelphia, PA

As a Senior Data Scientist at Spring Health, you will work with the Customer Experience team to build data products, analyze member mental health journeys, and provide actionable insights to enhance customer satisfaction and product value. Your role involves collaborating with internal teams and implementing AI/ML capabilities to improve mental health care solutions.

The Bioanalytical Scientist will manage bioanalytical vendors and oversee outsourced bioanalytical activities for clinical and nonclinical studies. Responsibilities include method development, regulatory documentation, and ensuring compliance with guidelines. This role serves as the technical expert liaising between internal teams and external vendors.

The Head of Emerging Technology & Data Science is responsible for driving advanced technology and analytics integration within Hartford Funds. This role involves leading innovation in AI and machine learning, collaborating with stakeholders to identify solutions, and maintaining a catalog of AI solution patterns. The individual will report on progress, serve as a thought leader, and represent the company in the investment community.

The Senior Staff Engineer - Data Scientist will support and develop products through data analysis, model development, and collaboration with stakeholders. This role involves creating statistical and optimization models, identifying trends in large datasets, and communicating insights to enhance business performance.

The Senior Data Scientist will engage in Generative AI initiatives, leveraging advanced machine learning techniques and large language models to build applications. Responsibilities include data collection, analysis, reporting, and influencing strategic business decisions based on complex data evaluation.

Facilitates the design and development of prototype continuous in-dwelling analytical sensors. Works closely with product development team to harmonize prototype designs with manufacturing requirements. Designs, fabricates, and tests in-dwelling continuous analytical sensors, primarily electrochemical. Analyzes in-vitro results and recommends strategies for improving sensor performance. Interfaces with clinical and regulatory resources for in-vivo testing of sensor prototypes. Provides technical assistance for diagnosing design and manufacturing quality problems. Guides development of test plan protocols, SOPs, specifications, and test procedures.

The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.