Top Data Science Jobs in Pittsburgh, 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.

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.

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.

The Partner Success Manager drives revenue growth by managing insurance distribution partners, optimizing campaign performance, and collaborating cross-functionally to achieve mutual growth.

Lead product initiatives from ideation to launch, manage P&L, and collaborate with cross-functional teams to ensure successful outcomes.

The Senior Product Manager will define and execute the strategic roadmap for real-time data capabilities, enhancing user response to incidents and cloud efficiency.

Lead high-impact initiatives in product operations and management, focusing on AI-enabled tools, customer experiences, and cross-functional collaboration.

Seeking a Senior Product Manager for the Data team to drive AI and ML initiatives that optimize shipping operations and enhance customer experience through data analytics.

Analyze data to support Airbnb's new business extensions, providing actionable insights on key metrics through advanced analysis and collaboration with teams.

As a Senior Product Manager, you will define the roadmap for AI-driven experiences, collaborating with various teams to enhance customer engagement and loyalty.

Lead and manage a data engineering team, defining technical strategy, partnering with cross-functional teams, and enhancing a culture of excellence.