Responsibilities
- 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.
Requirements
- 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.
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.
Benefits
- equity
- bonuses
- healthcare benefits
- retirement benefits
- pet insurance
- paid holidays
- paid Scopely free days
- unlimited paid time off
Additional Information
- 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.
