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Scopely

Data Scientist - Marketing & Product

Sorry, this job was removed at 08:23 p.m. (PST) on Thursday, May 14, 2026
In-Office
San Francisco, CA, USA
203K-290K Annually
In-Office
San Francisco, CA, USA
203K-290K Annually

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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 exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Niantic games businesses — Scopely consistently delivers experiences players love today and return to for years to come.

Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.

Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/. 

Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com.

Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact [email protected]. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice.

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

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