Senior Data Scientist, Marketing

Scopely; San Francisco (CA); On-site; USD 17,100 - 253,000; Full time

Benefits offered by this job

Healthcare benefits

Retirement benefits

Pet insurance

Unlimited paid time off

Job summary

Scopely, based in San Francisco, is seeking a Senior Data Scientist for its global Marketing organization. The role involves developing analytical models and reporting solutions to inform marketing strategies.

Key responsibilities include building ETL pipelines, predictive models, and contributing to dashboards. Candidates should have 3-6 years of data science or marketing analytics experience, proficiency in SQL and Python, and familiarity with marketing data.

The position offers a competitive salary range of $17,100 — $253,000 USD, along with equity, bonuses, and comprehensive benefits.

Qualifications

• 3-6 years of experience in data science or a related quantitative role.
• Understanding of marketing measurement across various channels.
• Proficiency in SQL and Python for analysis.

Responsibilities

• Build and maintain ETL pipelines for user acquisition data.
• Develop predictive models to optimize user acquisition campaigns.
• Contribute to scalable dashboards for marketing analytics.

Skills

Data science experience

Marketing analytics

SQL proficiency

Python experience

Communication skills

Education

3-6 years of experience in a quantitative role

Experience in gaming or digital consumer experience

Tools

BigQuery

Looker

Airflow

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 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.

Analytics Infrastructure & Workflow Efficiency

• Contribute to scalable dashboards and standardized reporting that enable self-serve marketing analytics.
• Ensure data quality, documentation, and consistency across marketing data pipelines.
• Leverage modern AI/ML tools (e.g., automated modeling workflows, AI coding assistants) to improve analysis speed, code quality, and documentation.
• Identify opportunities to automate recurring reporting and insight generation for marketing stakeholders.
• Contribute to responsible and thoughtful adoption of AI-powered analytics tools.

Qualifications

Data Scientist

• 3-6 years of experience in data science, marketing analytics, or a related quantitative role (gaming, mobile, or digital consumer experience preferred).
• Understanding of marketing measurement across paid media, brand/awareness, social, and direct marketing channels (e.g., email, push, CRM).
• 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 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...

• 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.

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.

CA, CO, NJ, NY, and WA Annual Salary Range

$17,100 — $253,000 USD

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.