Jobs / United States / Pubmatic INC

Data Scientist, Mobile App Performance

Pubmatic INC · 🇺🇸 Redwood City, US

Sponsorship verdict

Sponsorship possible

One solid signal, not two — worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 15 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 14 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
  • What Pubmatic INC paid sponsored hires in similar roles3 certified filings for “Senior Machine Learning Engineer” (Data Scientists) in CA: $134k–$174k, median $164k. Most were filed at wage level II (67%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
  • Confirmed live todayWhen a source last listed this job as open.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

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Sponsor Radar — Pubmatic INC

15 H-1B filings certified since Oct 2025

The US Department of Labor certified 15 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 14 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Pubmatic INC →

About the role

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 . What You'll Do: Model Development • 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. Evaluate and Improve System Health • Understand changes and drivers across PubMatic's mobile ecosystem: diagnose issues, identify structural inefficiencies, and track input/output metrics at each system component • 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 Who You Are: Required • 5+ years of hands-on data science experience, with a focus on ML model development, statistical inference, and production-grade analysis • Deep fluency in Python and SQL; experience with large-scale data environments (Spark, Hadoop, Hive, or equivalent) • Strong foundation in experimental design, hypothesis testing, regression modeling, and causal inference • Experience with ML algorithms relevant to ranking, prediction, and optimization problems: gradient boosted trees, deep learning, k-means, and related methods • 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 Strongly Preferred • Experience in mobile advertising, programmatic, or ad tech • Familiarity with mobile measurement and attribution or campaign performance optimization in mobile applications • Background working alongside ML engineering or product teams on systems where the model is the product • Advanced degree (Master's or PhD) in Statistics, Computer Science, Mathematics, or a related quantitative discipline Additional Information Return to Office : PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits: Our benefits package includes the best of what leading organizations provide such as, paid leave programs, paid holidays, healthcare, dental and vision insurance, disability and life insurance, commuter benefits, physical and financial wellness programs, unlimited DTO in the US (that we actually require you to use!), reimbursement for mobile and fully stocked pantries plus in-office catered lunches 5 days per week. Diversity and Inclusion : PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gende

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Source: Greenhouse (employer board) First seen: 2026-10-15 Last confirmed: 2026-10-15 How our data works → Report this job

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