Analytics Data Scientist — Big-Scale Ad Tech Insights

AppLovin; Palo Alto, Northern (CA, KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity eligible

Unlimited Discretionary Time Off

10 paid holidays per year

80 hours paid sick leave

Job summary

AppLovin is looking for a Data Scientist – Analytics to bridge engineering and business, working with petabyte-scale datasets and high-velocity streams from tens of millions of users. You’ll build analytics pipelines, dashboards, and KPIs while collaborating with researchers, engineers, and product teams.

You’ll design experiments, evaluate models for stability and health, and translate business questions into actionable insights.

Qualifications

• Bachelor’s degree in Data Science, Statistics, CS, Math, Economics, Engineering, or other quantitative discipline.
• Basic understanding of core statistical concepts and introductory modeling techniques.
• 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.

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 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 translate analytical needs into solutions.

Skills

SQL

Python

Statistics

Data analysis

Communication

Education

Bachelor's degree in a quantitative field

Master's degree in Data Science or related field

Tools

Looker

Tableau

Superset

Metabase

Airflow

Job description

AppLovin is looking for a Data Scientist – Analytics to bridge engineering and business, working with petabyte-scale datasets and high-velocity streams from tens of millions of users. You’ll build analytics pipelines, dashboards, and KPIs while collaborating with researchers, engineers, and product teams.

You’ll design experiments, evaluate models for stability and health, and translate business questions into actionable insights.