Senior Data Scientist, Gametime

• This is a high-impact opportunity for someone who thrives at the intersection of data science, economics, and strategy, and who is passionate about using data to influence pricing, product design, and long-term business outcomes
• 5+ years of experience in data science, pricing analytics, or quantitative strategy roles
• Advanced proficiency in Python or R, SQL, and statistical modeling techniques
• Strong experience with A/B testing frameworks and causal inference methods (e.g., regression, matching, difference-in-differences)
• Solid understanding of pricing theory, elasticity modeling, and optimization
• Excellent problem-solving and critical thinking skills; able to distill ambiguity into structured analyses
• Business-oriented mindset with the ability to prioritize impact and communicate clearly with non-technical audiences
• Self-starter with a passion for experimentation and continuous improvement

Desirable

• We’re looking for a highly analytical and business-savvy Senior Pricing Data Scientist to join our Pricing Strategy team
• In this role, you’ll design and execute advanced pricing models, lead experimentation efforts, and uncover insights that power monetization and growth
• You’ll work cross-functionally with Product, Analytics, Revenue, and Engineering to ensure our pricing strategies are data-driven, rigorously tested, and aligned with customer value
• Model Development & Optimization
• Design, build, and maintain pricing and demand elasticity models using statistical and machine learning methods
• Leverage behavioral, transactional, and marketplace data to optimize price points, discount strategies, and product bundling
• Develop tools to support scenario modeling, revenue forecasting, and price testing simulations
• Experimentation & Testing
• Design A/B and multivariate experiments to test pricing changes, discount strategies, and offer configurations
• Analyze test results with statistical rigor, including significance testing, confidence intervals, and causal inference techniques
• Partner with experimentation platform owners to automate and scale pricing experiments across channels and customer segments
• Insight Generation & Strategy Support
• Conduct in-depth analyses of customer willingness to pay, price sensitivity, and competitor pricing strategies
• Deliver insights on monetization opportunities, marketplace dynamics, and revenue optimization levers
• Partner with strategy and product teams to develop recommendations based on model outputs and empirical evidence
• Cross-functional Collaboration
• Collaborate closely with Product Managers, Engineers, and Revenue teams to embed pricing intelligence into user experiences
• Translate complex technical findings into actionable business recommendations for stakeholders across the org
• Contribute to roadmap planning, strategic decision-making, and post-launch pricing reviews