Jobs / United States / Applovin Corporation
Data Scientist – Analytics
Applovin Corporation · 🇺🇸 Palo Alto, CA
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 29 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 12 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 Applovin Corporation paid sponsored hires in similar roles4 certified filings for “Research Scientist” (Computer and Information Research Scientists) in CA: $238k–$250k, median $239k. Most were filed at wage level IV (75%) — 4 lottery entries, ≈61% 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).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Applovin Corporation
The US Department of Labor certified 29 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 12 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 Applovin Corporation →
About the role
About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. We are seeking a Data Scientist – Analytics to join our team and help bridge the gap between engineering and business functions at AppLovin. In this role, you will work with petabyte-scale datasets across our ad and app ecosystem , analyzing high-velocity data streams generated by tens of millions of daily active users . You will support the development of analytics tools, monitoring systems, and reporting pipelines that improve visibility into product health, business performance, and model outcomes. You’ll partner closely with research scientists, engineers, and business stakeholders to uncover insights, diagnose issues, and identify opportunities for growth. This role is ideal for someone early in their data science career who enjoys solving ambiguous problems, has foundational statistical and modeling knowledge, and is excited to build impactful tools used across the organization. Key Responsibilities Analytics, Monitoring & Tooling • Build and maintain dashboards, monitoring systems, and automated reporting to track product, business, and model performance. • Develop scalable analytics pipelines to surface key metrics, detect anomalies, and support timely issue diagnosis.. • Define and refine KPIs, using structured, hypothesis-driven analysis to understand performance changes and long-term trends. Insights Discovery & Model Evaluation • Analyze large datasets to identify trends, diagnose performance changes, and uncover growth opportunities. • Conduct exploratory analysis, root-cause investigations, and hypothesis-driven deep dives. • Support engineering and research science teams in evaluating model performance, including stability, calibration, and long-term health. Experimentation & Measurement • Assist in designing A/B tests, computing key metrics, and interpreting results. • Apply basic statistical reasoning (e.g., variance, confidence intervals, significance testing) to support decision-making. Cross-Functional Collaboration • Partner with engineering to integrate new data sources, refine data structures, and enable scalable analytics. • Work with product and business teams to understand analytical needs and translate them into actionable solutions. Minimum Qualifications • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline. • Basic understanding of core statistical concepts and introductory modeling techniques, with the ability to apply them in practical analysis • 0–3 years of experience in data analytics or data science (internships or projects count). Proficiency with SQL and at least one analytical programming language (Python preferred). • Ability to work with large datasets and translate findings into actionable recommendations. • Ability to translate business questions into analytical frameworks and communicate insights effectively to both technical and non-technical audiences. • Curious, proactive mindset with a desire to learn quickly and contribute meaningfully. Preferred Qualifications • Master’s degree in Data Science or a related quantitative disc