Data Scientist - Analytics & Growth Insights

TheDataJob; Palo Alto (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health Insurance

401(k) Retirement Plan

Unlimited PTO

Paid Holidays

Paid Sick Leave

Equity eligible

Job summary

AppLovin is hiring a Data Scientist – Analytics to bridge engineering and business functions. You will work with petabyte-scale datasets, analyzing high-velocity streams from millions of daily users and supporting analytics tooling, monitoring, and reporting pipelines.

This role suits someone early in their data science career who enjoys solving ambiguous problems, with foundational statistics and modelling knowledge, and a drive to build impactful tools used across the organization.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline.
• Basic understanding of core statistics and modeling techniques with practical analysis.
• 0–3 years in data analytics or data science; internships or projects count; SQL and at least one analytical 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 to technical and non-technical audiences.
• Curious, proactive mindset with a desire to learn quickly.

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

SQL

Python

Statistical reasoning

Communication

Problem solving

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline

Master's preferred

Tools

Looker

Tableau

BigQuery

Snowflake

Airflow

Job description

AppLovin is hiring a Data Scientist – Analytics to bridge engineering and business functions. You will work with petabyte-scale datasets, analyzing high-velocity streams from millions of daily users and supporting analytics tooling, monitoring, and reporting pipelines.

This role suits someone early in their data science career who enjoys solving ambiguous problems, with foundational statistics and modelling knowledge, and a drive to build impactful tools used across the organization.