Data Scientist (Analytics)

Join AppLovin, a leading mobile technology company, as a Data Scientist - Analytics. In this role, you will work with large datasets, develop analytics tools, and support business performance analysis. You will gain hands-on experience with production analytics, exposure to high-scale data challenges, and a meaningful role in driving insights that inform product and business strategy.

• Analyser des ensembles de données massifs pour identifier des tendances, diagnostiquer des changements de performance et découvrir des opportunités de croissance.
• Développer et maintenir des tableaux de bord, des systèmes de surveillance et des rapports automatisés pour suivre la performance des produits, des affaires et des modèles.
• Collaborer avec des équipes interfonctionnelles (ingénierie, produit, affaires) pour comprendre les besoins analytiques et les traduire en solutions exploitables.

• 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
• Curious, proactive mindset with a desire to learn quickly and contribute meaningfully
• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline
• 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
• Proficiency with SQL and at least one analytical programming language (Python preferred)
• 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)
• 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)