Top Hybrid Data Science Jobs in Pittsburgh, PA

Lead the implementation of analytical projects using vast amounts of data to extract insights and develop algorithms for predictive analysis. Collaborate with cross-functional teams to create data-driven solutions and present insights to management.

Lead the Products & Technology Risk and Quality team, overseeing risk management, compliance, and technology-related issues. Develop and monitor risk management policies, facilitate client engagements, and make informed decisions through research and analysis. Drive stakeholder discussions and uphold ethical standards. Requires strong leadership, communication, and critical thinking skills.

Seeking an outstanding technical leader in economics and data science to advance data-centric decision-making at Duolingo. Responsibilities include translating ideas into economic models, applying advanced analytical methods, collaborating with product and engineering teams, and providing guidance to the Data Science & Analytics team.