AppLovin
Data Scientist – Analytics
$156K–$234K
Palo Alto, CA · Full-time · Posted Aug 13, 2026
- Experience
- 0–3 years in data analytics or data science; internships or projects count.
- Education
- Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline.
About the job
Build analytics tools, monitoring systems, and reporting pipelines; analyze large datasets to evaluate product, business, and model performance and inform decisions.
What you'll do
- Build dashboards, monitoring systems, and automated reporting; develop scalable analytics pipelines and define KPIs.
- Analyze trends, diagnose performance changes, investigate root causes, and support model evaluation.
- Assist with A/B tests and statistical analysis, partnering with engineering, research, product, and business teams.
What they ask for
- Bachelor’s degree in a quantitative discipline.
- Basic understanding of statistical concepts and introductory modeling techniques.
- Proficiency with SQL and at least one analytical programming language (Python preferred).
- Ability to analyze large datasets and communicate actionable findings.
Nice to have
- Master’s degree in Data Science or a related quantitative discipline.
- Experience with BI tools, cloud data warehouses, workflow orchestration, experimentation, or digital advertising.
Pay
$156,000 — $234,000 USD (base salary)
Tools
SQL, Python, Looker, Tableau, Superset, Metabase, BigQuery, Snowflake
AI focus
AI is used in technology-assisted tools to help identify and evaluate candidates; hiring decisions are made by human reviewers.
Model-written summary · the original posting is authoritative