Scopely is hiring a Staff Data Scientist to partner with Marketing and Product teams. 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 individual contributor, you will define data strategy, elevate experimentation and causal inference, and leverage modern AI tools to accelerate insights across the organization.
What You'll Do
- 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.
- Raise experimentation standards (A/B testing, quasi-experimental methods, incrementality).
- Translate privacy-constrained attribution environments (e.g., SKAdNetwork, aggregated reporting) into actionable insights.
- 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.
- 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.
What We're Looking For
- 7+ years in data science supporting Marketing, Growth, User Acquisition, 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.
Nice to Have
- End-to-end delivery experience (telemetry, QA, ETL, modeling, deployment, dashboards).
- Experience with large-scale datasets.
- Familiarity with BigQuery, Composer, and Airflow.
Technical Stack
- SQL
- Python
- Looker
- Airflow
- Composer
- BigQuery
Benefits & Compensation
- Compensation range: $203,000—$290,000 USD + equity (may be eligible)
- Equity
- Bonuses
- Comprehensive benefits package
- Healthcare benefits
- Retirement benefits
- Pet insurance
- Paid holidays
- Paid Scopely free days
- Unlimited paid time off
Scopely is an equal opportunity employer.
