Note: The job is a remote job and is open to candidates in USA. 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.
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
Skills
- 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)
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
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