Hiring: Senior Data Scientist, Marketing Company: Scopely Location: San Francisco, CA Job Posted Time: 2026-09-16 15:06:26 Target Skills & Keywords : Airflow, BigQuery, Data Pipeline, Data Warehouse, ETL, Python, SQL, Stakeholder Management About the job Experience: •4-8 years of experience in data science, marketing analytics, or a related quantitative role (gaming, mobile, or digital consumer experience preferred). •8 years of experience in data science, marketing analytics, or a related quantitative role (gaming, mobile, or digital consumer experience preferred). Required Skills: •Contribute to and own the 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. •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. Qualifications: •Demonstrated proficiency in integrating AI agentic tools to accelerate end-to-end data science workflows. •Proven experience in user acquisition measurement and attribution with exposure to Marketing Mix Modeling or other aggregate-level measurement frameworks. •Understanding of full marketing funnel, including brand/awareness, social, UA, and direct marketing channels (e.g., email, push, CRM). •Operational familiarity with core performance metrics such as CAC, ROAS, retention, engagement, and LTV. •Proficiency in SQL and experience using Python (or similar) for analysis. •Strong analytical, communication, and stakeholder management skills in a cross-functional environment. •Operational familiarity with lifecycle marketing analytics, segmentation modeling, or propensity modeling. •CA, CO, NJ, NY, and WA Annual Salary Range Compensation: •$17,100 - $253,000 / year •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!