PubMatic
Data Scientist, Mobile App Performance
Redwood City, US · Senior
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →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.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- O wn the data science function for Mobile App performance, working at the intersection of ML and programmatic advertising.
- This is a high-ownership, high-visibility role -- both internally and with our customers.
- Act as the senior data science voice in product discussions.
Responsibilities
- Build signal enrichment pipelines leveraging contextual signals, behavioral data, and mobile attribution frameworks
- Develop production-grade predictive models based on event data (clicks, installs, in-app events, retention).
- Partner with GTM teams to translate metric frameworks into buyer-facing insights and predictive models
- Drive Product Development
- Conduct deep-dive analysis to influence product and engineering decisions: pull and query large datasets, extract valuable signals from noise, and produce actionable insights into how we can drive better outcomes for buyers and publishers
- Develop predictive modeling frameworks to quantify performance gains from product hypotheses before they ship - reducing decision latency and de-risking the roadmap
- Act as the senior data science voice in product discussions. Bring partner-level insight and analytical rigor to roadmap decisions.
- Work with product and engineering to define success metrics, design experiments, and evaluate new features before and after launch.
- Design experiment frameworks and causal inference methods that produce reliable, unbiased signals for product and business decisions
Requirements
- 5+ years of hands-on data science experience, with a focus on ML model development, statistical inference, and production-grade analysis
- experience with large-scale data environments (Spark, Hadoop, Hive, or equivalent)
- Proven ability to extract actionable signals from noisy, high-volume datasets and communicate findings clearly
- Track record of owning projects end-to-end, from problem framing through to production impact
- Experience in mobile advertising, programmatic, or ad tech
- Familiarity with mobile measurement and attribution or campaign performance optimization in mobile applications
- Advanced degree (Master's or PhD) in Statistics, Computer Science, Mathematics, or a related quantitative discipline
Nice to have
- Strongly Preferred
Benefits
- Evaluate and Improve System Health
This listing is sourced directly from PubMatic's careers page and normalized into a canonical job model.