AppLovin · 1 day ago
Data Scientist - Analytics
AppLovin is a technology company that provides software and AI solutions for businesses to connect with their customers. The Data Scientist – Analytics role involves working with large datasets to analyze data streams, develop analytics tools, and collaborate with cross-functional teams to uncover insights and improve business performance.
AdvertisingDeveloper ToolsMobileMobile Apps
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
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
Support engineering and research science teams in evaluating model performance, including stability, calibration, and long-term health
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
Qualification
Required
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
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)
Benefits
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
Company
AppLovin
AppLovin makes technologies that help businesses of every size connect to their ideal customers.
H1B Sponsorship
AppLovin has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (29)
2024 (21)
2023 (25)
2022 (29)
2021 (13)
2020 (11)
Funding
Current Stage
Public CompanyTotal Funding
$5.12BKey Investors
GQGKohlberg Kravis RobertsOrient Hontai Capital
2024-11-20Post Ipo Debt· $3.55B
2024-02-29Post Ipo Secondary
2023-08-14Post Ipo Secondary
Leadership Team
Recent News
The Motley Fool
2026-01-11
The Motley Fool
2026-01-11
Company data provided by crunchbase