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AppLovin

Data Scientist – Analytics

AppLovin · Palo Alto, CA

Posted about 2 months ago · Previously reposted

or apply directly on AppLovin's site. We never take the application ourselves.

Is this posting real?

This role has been open
55 days
AppLovin's roles stay open a median of 55 days
Reposted
Yes
taken down and listed again at least once
Salary listed
No
0% of AppLovin's roles list one
Ghost-job risk at AppLovin
high
27 stale, 1 reposted of 37 open
Hiring momentum
47 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from AppLovin's own greenhouse board since 2026-08-03. Full hiring picture for AppLovin.

About this role

As a Data Scientist – Analytics at AppLovin, you will work with large datasets to analyze data streams from millions of daily active users. Your role will involve building dashboards, developing analytics tools, and collaborating with cross-functional teams to uncover insights and support business decisions. You will also assist in designing experiments and translating business questions into actionable analytical frameworks.

Our read on this posting2.6out of 5
benefits
4/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of AppLovin as an employer.

What you need

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or another 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 to both technical and non-technical audiences.

Nice to have

  • 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.

What you get

  • Competitive total compensation package with pay for performance rewards.
  • Equity eligible.
  • Health Insurance: Medical, Dental, Vision, Life, Disability.
  • 401(k) Retirement Plan.
  • Unlimited Discretionary Time Off.
  • 10 paid holidays per year.

Worth weighing

  • No specific technologies or tools mentioned beyond SQL and Python, which may indicate a lack of modern tech stack.
  • Role may involve ambiguity in problem-solving, which could be challenging for some candidates.
  • The position is described as ideal for someone early in their data science career, which may imply limited scope for advanced professionals.

Summarised from AppLovin's posting. Read the full original.

Listed by AppLovin on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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