Scopely
Gaming
DataScientist,Marketing
“Data Scientist, Marketing at Scopely. Skills: Data Science, Marketing Analytics, SQL, Python. Develop measurement frameworks. Develop analytical models”
What You'll Achieve.
inform user acquisition; inform brand investment; inform direct marketing (CRM); inform long-term player growth; enable faster optimization of UA campaigns; answer common data inquiries; evaluate cross-channel and upper-funnel impact; evaluate campaign effectiveness; align on forecasting methodologies; align on investment strategies; provide actionable insights on targeting; provide actionable insights on segmentation; provide actionable insights on messaging effectiveness; provide actionable insights on channel strategy; enable self-serve marketing analytics; improve analysis speed; improve code quality; improve documentation; generate insights
Industry & Context.
analytically; diagnose data pipeline issues
What They're Looking For.
Must Have
1–5 years of experience in data science, marketing analytics, or a related quantitative role, Understanding of marketing measurement across paid media, brand/awareness, social, and direct marketing channels, 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, experience using Python (or similar) for analysis, Experience working with large datasets in a cloud data warehouse, building dashboards in BI tools, analytical skills, communication skills, stakeholder management skills in a cross-functional environment, Demonstrated effective use of AI and a forward-thinking mindset into how AI will change day-to-day work in data and marketing
Nice to Have
gaming, mobile, or digital consumer experience preferred, Experience supporting brand or upper-funnel marketing measurement, Exposure to marketing mix modeling or other aggregate-level measurement frameworks, Familiarity with lifecycle marketing analytics, segmentation modeling, or propensity modeling, Experience building marketing data pipelines using Airflow, Composer, or similar orchestration tools, Experience working with global marketing teams across multiple regions
What You'll Do.
Develop measurement frameworks
Develop analytical models
Develop scalable reporting solutions
Build and maintain ETL pipelines
Develop predictive LTV models
Develop AI-based systems
Contribute to marketing mix modeling
Support testing frameworks
Partner with Finance and UA teams
Build and maintain datasets
Support measurement and optimization
Provide actionable insights
Contribute to scalable dashboards
Contribute to standardized reporting
Identify opportunities to automate
Contribute to responsible adoption of AI
How You'll Work.
Team & Collaboration
Partner with Finance and UA teams; Partner with Marketing stakeholders; stakeholder management skills in a cross-functional environment
Communication Scope
communication skills
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