Job description

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 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). What You’ll Gain 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. CA Base Pay Range $156,000 — $234,000 USD AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. 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 AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here . To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.

Requirements

Must-haves

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

Nice-to-haves

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).
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).
What You’ll Gain
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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonmlai

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off