Niantic
Senior Data Scientist, Marketing
US - San Francisco, United States · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
The bottom of this range ($17,100) is below the Level I prevailing wage of $110,386. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $142,438 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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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.
- 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.
- 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.
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.
- The mission of Scopely Explore (formerly known as Niantic) 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.
Company info
- Founded in 2011, Scopely is powered by its exceptional team - including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami.
This listing is sourced directly from Niantic's careers page and normalized into a canonical job model.