Founding Staff Data Scientist Remote Hybrid
Scientific Games
Join Scientific Games as a Founding Staff Data Scientist to shape decision science systems. This remote hybrid position focuses on building high-impact solutions for forecasting and recommendation systems.
As a senior technical leader, you’ll partner with key data scientists to build scalable systems from scratch. This role will involve translating complex business challenges into structured modeling roadmaps and executing decision science strategies that drive measurable results. You'll tackle high-value issues across various domains, including pricing, personalization, and portfolio optimization.
Key Responsibilities: • Lead design of decision science systems for various applications • Translate business opportunities into structured modeling roadmaps • Partner to establish key modeling standards and frameworks • Build production-grade decision engines for diverse use cases • Mentor data scientists and enhance technical rigor
Requirements: • Master’s or PhD in relevant STEM field • 6+ years post-Master’s or 4+ years post-PhD experience • Strong experience in forecasting and optimization techniques • Proficiency in Python, SQL, and large-scale data • Knowledge of recommendation systems and inference methods
Bring your expertise in decision science and technical leadership to drive innovation at Scientific Games. #J-18808-Ljbffr
As a senior technical leader, you’ll partner with key data scientists to build scalable systems from scratch. This role will involve translating complex business challenges into structured modeling roadmaps and executing decision science strategies that drive measurable results. You'll tackle high-value issues across various domains, including pricing, personalization, and portfolio optimization.
Key Responsibilities: • Lead design of decision science systems for various applications • Translate business opportunities into structured modeling roadmaps • Partner to establish key modeling standards and frameworks • Build production-grade decision engines for diverse use cases • Mentor data scientists and enhance technical rigor
Requirements: • Master’s or PhD in relevant STEM field • 6+ years post-Master’s or 4+ years post-PhD experience • Strong experience in forecasting and optimization techniques • Proficiency in Python, SQL, and large-scale data • Knowledge of recommendation systems and inference methods
Bring your expertise in decision science and technical leadership to drive innovation at Scientific Games. #J-18808-Ljbffr
Reference: WJ-3875_13265202