Measurement Data Scientist

AppLovin

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Palo Alto, CA
Salary
$98,000–$148,000 / yr
Posted
29 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $162k
This role $123k
$84k most similar roles pay here $232k

This role pays less than 90% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $123k versus about $162k 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 7 open roles on FindRole.

Listed pay typically runs $105,030–$156,465 across 7 roles with salary data.

Most-posted roles

View all roles at AppLovin

At a glance

TL;DR · Measurement Data Scientist

The Measurement Data Scientist joins the Product Partnerships & Measurement team to investigate performance metrics across platform and third-party systems. This role involves triangulating multiple sources of truth, including media mix modeling, multi-touch attribution, incrementality, and post-purchase surveys to uncover actionable insights for business and marketing decisions. The successful candidate will build tracking frameworks, design incrementality tests, and translate complex data into clear strategies for technical and non-technical audiences. Day-to-day tasks include analyzing large-scale data using SQL and Python, specifically utilizing libraries like pandas, numpy, sklearn, and matplotlib. The role requires deep knowledge of advertising and commerce ecosystems, including conversion tracking and attribution modeling. Candidates must navigate messy data to refine metrics and provide guidance on learning agendas while solving complex problems within the digital marketing and eCommerce analytics space.

What you'll do

  • Investigate performance metrics across platform and third-party systems to identify inconsistencies and uncover actionable insights.
  • Analyze large-scale data using SQL and Python to extract trends and inform business decisions.
  • Synthesize complex data into clear, actionable insights for both technical and non-technical audiences.
  • Design and evaluate incrementality tests and interpret results from MMM, MTA, and brand lift studies.
  • Build tracking frameworks to monitor test performance and ensure proper campaign setup for partners.
  • Challenge assumptions and refine metrics used for evaluating advertising and commerce performance.
  • Translate analytical findings into business strategies that improve campaign effectiveness and advertiser ROI.

What we're looking for

  • Strong SQL skills and experience with large-scale data manipulation.
  • Proficiency with Python for data analysis using pandas, numpy, sklearn, and matplotlib.
  • Thorough understanding of data structures.
  • Significant experience in online data analysis with end-to-end project execution.
  • Strong communication skills to translate analytical findings into clear business recommendations.
  • Experience in advertising, digital marketing, or eCommerce analytics (preferred).
  • Experience with measurement methodologies like CLS, RCTs, attribution modeling, incrementality testing, and GeoLift (preferred).
  • Demonstrated ability to apply AI techniques to marketing measurement challenges (preferred).

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