Top Data Science Jobs in Philadelphia, PA

The Recruiting Data Analyst will optimize recruitment analytics, support data integrity, develop reports and dashboards, and enhance recruitment strategies through data-driven insights.

The Senior AI Product Manager will lead the development and launch of AI/ML features, collaborating with engineering and sales teams to deliver impactful products and achieve business goals.

As a Product Manager, you will contribute to product strategy, gather market insights, and collaborate with stakeholders to build innovative healthcare solutions.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

As a Staff Product Manager, you will own strategy for the Benefits Platform, enhance insurance accuracy, and collaborate with engineering and data teams to improve automated decision-making using ML.

Lead CMC activities for biologic product development, oversee teams, ensure regulatory compliance, and collaborate across functional areas to enhance drug development.

Lead the AI governance framework development, integrating compliance, risk management, and mentoring junior staff while influencing AI governance practices.

Lead product marketing efforts for Domino's Data Science platform. Develop messaging, drive go-to-market strategies, and create thought leadership content while engaging with data science executives.

Lead Value Consultant responsible for executing value management strategy, enhancing customer value initiatives, and driving cross-functional collaboration for impactful outcomes.

The Senior Data Scientist will develop and maintain machine learning models while collaborating with various teams to drive business growth and operational efficiencies.

Lead the development of ML-based products, implement AI solutions, manage teams, and engage with clients to deliver transformative solutions through advanced algorithms and data analysis.

Lead AI strategy initiatives across life sciences, translating business needs into actionable AI approaches and collaborating with various teams for integration.

The Senior Actuarial Assistant analyzes data using actuarial techniques, collaborates on product strategies, and communicates insights to inform business decisions.

The Software Engineer III will lead projects to enhance patient communication, collaborating across teams to deliver high-quality, maintainable systems and improving healthcare accessibility.

As a Senior Applied Scientist, you will build machine learning models, mentor teams, and optimize business processes across various teams at Coinbase.

Lead technical storytelling and marketing strategies for Domino's AI/ML products, engaging with customers and fostering market understanding through compelling content and education.

The Senior Director leads enterprise systems and solutions for supply chain, focusing on data management, digital solutions, and strategic deployment to enhance performance and drive innovation across Johnson & Johnson.

The VP of R&D Data Science will develop and manage data science strategies, lead teams, collaborate on therapeutic programs, and align technology roadmaps to drive innovations in drug discovery and product development.

Seeking PhD interns for R&D roles at Dow. Responsibilities include solving complex problems and collaborating to drive innovations.

The internship involves solving diverse problems in digital innovation related to R&D and Operations, requiring strong technical and analytical skills.

As an intern in Research and Development at Dow, you'll assist in projects, partnering with scientists to solve chemical and material-related problems.

Lead product marketing strategies for CVS Media Exchange, focusing on customer needs and driving digital product adoption and awareness.

Lead large data projects, design analytics roadmaps, implement quality controls, and foster relationships with clients and teams to drive success.

Lead a team of Solutions Architects for healthcare, focusing on technical sales strategy, customer success, and team development in data solutions.

Lead a team of Data and ML engineers, develop ML systems, collaborate on AI solutions, mentor staff, and operationalize ML processes.