Data Scientist – Analytics

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.

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.

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.

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.

Exposure to A/B testing, experiment design, or statistical evaluation.

Understanding of digital advertising, performance marketing metrics, or online marketplace dynamics.

Experience collaborating with cross-functional teams (engineering, product, business).

Hands-on experience with real production analytics, monitoring systems, and model evaluation.

Opportunities to build foundational infrastructure that scales across teams.

Exposure to high-scale data challenges and real-world ML performance considerations.

A meaningful role in driving insights that inform product and business strategy.

AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits.

Other Types of Pay: Equity eligible

Health Insurance: Medical, Dental, Vision, Life, Disability

Retirement Benefits: 401(k) Retirement Plan

Paid Time Off: Unlimited Discretionary Time Off

Paid Holidays: 10 paid holidays per year

Paid Sick Leave: 80 hours per year

Method of Application: Apply online

Application Window: The application window is expected to close within 30 days of the posting date.

All questions or concerns about this posting should be directed to peopleops@applovin.com.