Scopely
Senior Data Scientist, Marketing
US - San Francisco, United States · Senior
Sponsorship not specified$17k-$253kDetected 21 days ago
PythonSQLBigQueryMachine LearningAirflowData EngineeringData ScienceData VisualizationStakeholder ManagementMarketing AnalyticsCRMForecastingCommunication
About the role
- This role is ideal for someone who combines strong technical skills with intellectual curiosity and a desire to understand how marketing investments translate into long-term player value.
- For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below.
Responsibilities
- Build and maintain robust ETL pipelines that ingest, transform, and validate UA data from ad networks, MMPs, and internal systems.
- Develop and refine predictive LTV (pLTV) models to enable faster optimization of UA campaigns based on early user signals.
- Explore, develop, and refine AI-based systems that are able to answer common data inquiries from stakeholders, as well as quickly diagnose data pipeline issues, etc.
- Support testing frameworks (e.g., geo experiments, holdouts, incrementality tests) to evaluate campaign effectiveness in privacy-constrained environments.
- Partner with Finance and UA teams to align on forecasting methodologies and investment strategies driven by pLTV and payback periods.
- Build and maintain reliable datasets and ETL workflows that ingest and transform marketing data from ad platforms, CRM systems, social channels, and internal data sources.
- Support measurement and optimization of direct marketing channels including email, push notifications, in-app messaging, and other CRM/lifecycle campaigns.
- Partner with Marketing stakeholders to provide actionable insights on targeting, segmentation, messaging effectiveness, and channel strategy.
Requirements
- Familiarity with core performance metrics such as CAC, ROAS, retention, engagement, and LTV.
- Experience working with marketing data from ad platforms, CRM systems, or aggregate reporting environments.
- Proficiency in SQL and experience using Python (or similar) for analysis.
- Experience supporting brand or upper-funnel marketing measurement.
- Familiarity with lifecycle marketing analytics, segmentation modeling, or propensity modeling.
- Experience working with global marketing teams across multiple regions.
- Data Scientist
- Understanding of marketing measurement across paid media, brand/awareness, social, and direct marketing channels (e.g., email, push, CRM).
- Experience working with large datasets in a cloud data warehouse (e.g., BigQuery) and building dashboards in BI tools (e.g., Looker).
- Strong analytical, communication, and stakeholder management skills in a cross-functional environment.
- Plus If…
- Exposure to marketing mix modeling or other aggregate-level measurement frameworks.
- Experience building marketing data pipelines using Airflow, Composer, or similar orchestration tools.
Nice to have
- 3-6 years of experience in data science, marketing analytics, or a related quantitative role (gaming, mobile, or digital consumer experience preferred).
Skills
- Scopely is a global gaming company whose mission is to inspire play every day.
- Niantic (a division of Scopely)'s mission is to inspire people to explore the world, together.
- Demonstrated effective use of AI and a forward-thinking mindset into how AI will change day-to-day work in data and marketing is mandatory.
Compensation
- For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below.
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This listing is sourced directly from Scopely's careers page and normalized into a canonical job model.