AppLovin
Data Scientist – Analytics
Palo Alto, CA · 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
$12,917 more — $168,917 — 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 $168,917 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 Jose-Sunnyvale-Santa Clara, 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
- For more information about AppLovin, visit: www.applovin.com.
- 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.
Responsibilities
- 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..
- Apply basic statistical reasoning (e.g., variance, confidence intervals, significance testing) to support decision-making.
- Partner with engineering to integrate new data sources, refine data structures, and enable scalable analytics.
- To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates.
Requirements
- 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).
- 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.
Nice to have
- Master's degree in Data Science or a related quantitative discipline.
- Experience with BI tools such as Looker, Tableau, Superset, Metabase, or similar.
- Familiarity with cloud data warehouses (e.g., BigQuery, Snowflake) and workflow orchestration tools such as Airflow.
- Understanding of digital advertising, performance marketing metrics, or online marketplace dynamics.
- Experience collaborating with cross-functional teams (engineering, product, business).
- What You'll Gain
- Hands-on experience with real production analytics, monitoring systems, and model evaluation.
- Exposure to high-scale data challenges and real-world ML performance considerations.
Skills
- About AppLovin
- The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences.
- Define and refine KPIs, using structured, hypothesis-driven analysis to understand performance changes and long-term trends.
- Analyze large datasets to identify trends, diagnose performance changes, and uncover growth opportunities.
- Conduct exploratory analysis, root-cause investigations, and hypothesis-driven deep dives.
- Assist in designing A/B tests, computing key metrics, and interpreting results.
- Work with product and business teams to understand analytical needs and translate them into actionable solutions.
Compensation
- 10 paid holidays per year
- Paid Holidays: 10 paid holidays per year
- CA Base Pay Range
- $156,000 - $234,000 USD
Benefits
- Unlimited Discretionary Time Off
- 401(k) Retirement Plan
- Paid Sick Leave: 80 hours per year
Company info
- About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers.
- We are seeking a Data Scientist - Analytics to join our team and help bridge the gap between engineering and business functions at AppLovin.
Equal opportunity
- equal opportunity employer that is committed to inclusion and diversity.
- Learn more about EEO rights as an applicant here.
- If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at jobs@applovin.com
This listing is sourced directly from AppLovin's careers page and normalized into a canonical job model.