Senior Data Scientist

• Lead the development of scalable insights, frameworks, and methodologies that deepen foundational understanding of player behavior and game ecosystems
• Drive ambiguous, high-impact problem spaces end-to-end - partnering with product, design, engineering, and analytics to translate open-ended questions into rigorous analytical strategies and experimentation roadmaps
• Own the design, execution, and interpretation of complex experimentation (A/B tests and beyond) to influence product, gameplay, and monetization decisions across portfolio
• Develop advanced models and analytical frameworks to understand and predict player lifecycle dynamics, including retention, churn, engagement, and lifetime value
• Synthesize findings into clear, actionable narratives and influence senior stakeholders through strong communication and data storytelling
• Set direction for and evolve central data science products within the Central PubSports Insights domain, including defining roadmaps, improving reliability, and driving automation at scale
• Mentor and elevate other data scientists and analysts by establishing best practices, enabling reproducibility, and scaling impact through shared tooling, documentation, and training

• Ph.D. in Machine Learning, AI, Statistics, Mathematics, Computer Science, or a related quantitative field with 4+ years of industry experience (including postdoctoral work), or equivalent practical experience (M.S. with 6-8+ years, or B.S. with 8-10+ years)
• Deep expertise in Python and SQL, with experience working on large-scale, distributed data systems (e.g., Spark, Databricks, or cloud-based platforms)
• Proven track record of developing, deploying, and maintaining machine learning models in production environments (e.g., recommendation systems, churn prediction, personalization)
• Strong foundation in causal inference and experimentation, including advanced methods beyond standard A/B testing (e.g., quasi-experiments, instrumental variables, uplift modeling)
• Demonstrated ability to independently scope, prioritize, and execute complex analytical projects with significant business impact
• Experience influencing product or business strategy through data-driven insights

• Deep intuition for player behavior, engagement loops, and monetization systems within games or digital products
• Experience operating in highly cross-functional environments and influencing without direct authority
• Strong leadership, mentorship, and technical guidance skills within data science or analytics teams
• Exceptional communication skills, with the ability to tailor insights to both technical and non-technical audiences and drive alignment across stakeholders

Our benefits package includes: 

• Comprehensive medical benefits 
• Competitive pay 
• 401(k) retirement plan 
• …and much more!