Senior Manager, Data Scientist – Experimentation Lead

Capital One

Senior Manager, Data Scientist leading experimental design and causal inference at Capital One. Focused on data-driven decision-making within the Retail Bank Data Science team.

Posted 6/19/2026full-timeMcLean • New York, Virginia • 🇺🇸 United StatesSenior💰 $229,900 - $262,400 per yearWebsite

Tech Stack

Tools & technologies

AWSOpen SourcePythonScala

About the role

Key responsibilities & impact

Standardize how we measure incrementality across the organization to ensure metric improvements are tied to specific, isolated initiatives, reducing misattribution.
Upstream Product Prioritization: Work with Product Managers and Business Analysts to design in-market tests early in the lifecycle, validating high-risk assumptions before full-scale development.
Establish Experimental Infrastructure: Build the infrastructure for testing, including a centralized repository for hypotheses, known covariates, causal models, and results.
Mentorship & Consultation: Consult with Data Scientists and Analysts on advanced causal inference techniques for observational data where A/B testing isn't feasible.
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.

Requirements

What you’ll need

Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics
Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
At least 2 years of experience leveraging open source programming languages for large scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases
Preferred: PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics
At least 1 year of experience working with AWS
At least 1 year of experience managing people
At least 5 years’ experience in Python, Scala, or R for large scale data analysis
At least 5 years’ experience with machine learning.

Benefits

Comp & perks

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analyticscausal inferenceA/B testingmachine learningrelational databasesPythonScalaRquantitative analysisstatistical modeling

Soft Skills

mentorshipconsultationcollaborationcommunicationleadership

Certifications

Bachelor's DegreeMaster's DegreePhD