Data Scientist, Analytics

AppLovin

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Palo Alto, CA
Salary
$156,000–$234,000 / yr
Posted
75 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $159k
This role $195k
$94k $249k
below market most similar roles pay here above market

This role pays more than 77% of similar roles. Most pay $126,800–$191,450 — the blue band above. At the midpoint, this role pays about $195k versus about $159k for comparable roles.

Based on 240 similar postings.

Employer

About AppLovin

AppLovin enables businesses to advertise profitably with marketing technologies that attract customers, increase revenue, and track ad performance.

AppLovin currently has 6 open roles on FindRole.

Listed pay typically runs $133,000–$211,000 across 6 roles with salary data.

Most-posted roles

View all roles at AppLovin

At a glance

TL;DR · Data Scientist, Analytics

The Data Scientist – Analytics joins the team to bridge the gap between engineering and business functions. This role involves analyzing petabyte-scale datasets and high-velocity data streams from tens of millions of daily active users within an ad and app ecosystem. Key responsibilities include building and maintaining dashboards, monitoring systems, and automated reporting pipelines to track product health and model outcomes. You will develop scalable analytics pipelines, define KPIs, and conduct hypothesis-driven deep dives to identify growth opportunities. The position requires proficiency in SQL and Python, along with foundational knowledge of statistical concepts, modeling techniques, and A/B testing. You will also utilize BI tools like Looker or Tableau and cloud data warehouses like BigQuery or Snowflake to solve complex problems in digital advertising and performance marketing.

What does a Data Scientist earn in California?

Median $214500 from 114 postings across 26 companies.

See salary data

What you'll do

  • Build and maintain dashboards, monitoring systems, and automated reporting to track product and model performance.
  • Develop scalable analytics pipelines to surface key metrics and detect data anomalies.
  • Define and refine KPIs using hypothesis-driven analysis to understand performance trends.
  • Conduct exploratory analysis and root-cause investigations to identify growth opportunities.
  • Evaluate model performance, including stability, calibration, and long-term health.
  • Design A/B tests and apply statistical reasoning to interpret results for decision-making.
  • Partner with engineering to integrate new data sources and refine data structures.
  • Translate business questions into analytical frameworks and actionable solutions.

What we're looking for

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline.
  • 0–3 years of experience in data analytics or data science, including internships or projects.
  • Basic understanding of core statistical concepts and introductory modeling techniques.
  • Proficiency with SQL and at least one analytical programming language, such as 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.
  • Master’s degree in Data Science or a related quantitative discipline (preferred).
  • Experience with BI tools, cloud data warehouses, workflow orchestration tools, A/B testing, or digital advertising (preferred).

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