Data Scientist, Mobile App Performance

About the Role:

Own the data science function for Mobile App performance, working at the intersection of ML and programmatic advertising. This is a high-ownership, high-visibility role--both internally and with our customers.

What You'll Do:

Model  Development  

• Build signal enrichment pipelines leveraging contextual signals, behavioral data, and mobile attribution frameworks 

• Develop production-grade predictive models based on event data (clicks, installs, in-app events, retention). 

• Partner with GTM teams to translate metric frameworks into buyer-facing insights and predictive models 

 

Drive Product Development  

• Conduct deep-dive analysis to influence product and engineering decisions: pull and query large datasets, extract valuable signals from noise, and produce actionable insights into how we can drive better outcomes for buyers and publishers 

• Develop predictive modeling frameworks to quantify performance gains from product hypotheses before they ship — reducing decision latency and de-risking the roadmap 

• Act as the senior data science voice in product discussions. Bring partner-level insight and analytical rigor to roadmap decisions. 

 

 

Evaluate and Improve System Health 

• Understand changes and drivers across PubMatic's mobile ecosystem: diagnose issues, identify structural inefficiencies, and track input/output metrics at each system component 

• Work with product and engineering to define success metrics, design experiments, and evaluate new features before and after launch. 

• Design experiment frameworks and causal inference methods that produce reliable, unbiased signals for product and business decisions 

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