Scopely

SeniorDataScientist,Marketing

$175–250k ~AI est. San Francisco, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Scientist, Marketing at Scopely”

Full Job Description

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. We build products that inspire exercise, exploration, and social in-person interaction. We are seeking a quantitatively strong and business-oriented Senior Data Scientist, Marketing to support our global Marketing organization. In this role, you will help develop measurement frameworks, analytical models, and scalable reporting solutions that inform user acquisition, brand investment, direct marketing (CRM), and long-term player growth. 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. 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. Responsibilities User Acquisition (UA) 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. Contribute to marketing mix modeling (MMM) and other aggregate measurement approaches to evaluate cross-channel and upper-funnel impact (e. g. brand) where deterministic attribution is limited. 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. Direct Marketing Build and maintain reliable datasets and ETL workflows that ingest and transform marketing data fr

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