Niantic
Data Scientist, Marketing
US - San Francisco, United States; US - Sunnyvale, United States · Junior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). 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
$638 more — $142,438 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
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
- 1-5 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.