[Remote] Data Scientist - Analytics

Note: The job is a remote job and is open to candidates in USA. AppLovin is a company that provides end-to-end software and AI solutions for businesses to connect with their customers. They are seeking a Data Scientist – Analytics to work with large datasets and support the development of analytics tools and reporting pipelines to improve product health and 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

Company Overview