Data Scientist - Marketing & Product

Scopely is a global gaming company whose mission is to inspire play every day. Niantic (a division of Scopely) inspires people to explore the world together through products that promote exercise, exploration, and real-world social interaction. We’re seeking a strategic, impact-driven Staff Data Scientist to partner with Marketing and Product. You will lead scalable measurement frameworks, predictive models, and AI-powered analytics to shape user acquisition, engagement, monetization, and long-term player value. As a senior IC, you’ll define data strategy across marketing and product analytics, elevate experimentation and causal inference, and leverage modern AI tools to accelerate insights and decision-making. You’ll collaborate with Marketing, Product, Engineering, Finance, and Executive Leadership to drive measurable business outcomes. Responsibilities Marketing Product Analytics Design scalable measurement frameworks across acquisition, retention, monetization, and lifecycle marketing. Build and productionize advanced models (LTV, churn, propensity, incrementality, MMM) to inform investment and roadmap decisions. Partner with Marketing and Finance to optimize budget allocation and ROI. Experimentation Causal Inference Raise experimentation standards (A/B testing, quasi-experimental methods, incrementality). Translate privacy-constrained attribution environments (e.g., SKAdNetwork, aggregated reporting) into actionable insights. Data Engineering Infrastructure Architect and maintain scalable ETL pipelines for marketing and product data (e.g., Airflow, Composer). Design optimized data models and warehouse schemas for high-performance analytics. Build reusable data assets, feature stores, and modular analytics frameworks. AI-Driven Analytics Apply modern AI/ML tools (LLMs, coding assistants, automated workflows) to accelerate modeling and analysis. Integrate AI into analytics workflows to improve speed, quality, and reproducibility. Promote technical excellence and responsible AI adoption. Qualifications 7+ years in data science supporting Marketing, Growth, UA, or Product Analytics (gaming/mobile preferred). Proven experience building production-grade predictive models (LTV, churn, propensity, MMM) that drive impact. Strong expertise in experimentation, causal inference, and marketing measurement. Advanced SQL and Python skills, including scalable ETL and production workflows. Experience with BI tools (e.g., Looker) and enabling self-serve analytics. Ability to influence senior stakeholders and drive executive-level adoption. Plus If… End-to-end delivery experience (telemetry, QA, ETL, modeling, deployment, dashboards). Experience with large-scale datasets. Familiarity with BigQuery, Composer, and Airflow. For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $203,000 $290,000 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its except ... (truncated, view full listing at source)