Senior Manager, Data Scientist - Experimentation Lead

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$229,900–$262,400 / yr
Posted
5 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k
This role $246k
$150k most similar roles pay here $274k

This role pays more than 87% of similar roles. Most pay $162,000–$223,750 — the shaded band above. At the midpoint, this role pays about $246k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 814 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 809 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Manager, Data Scientist - Experimentation Lead

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As a Senior Manager of Data Science in the Retail Bank's Data Science team, you will lead the Design of Experiments (DoE) center of excellence, ensuring that product roadmaps are validated through rigorous testing. Your daily responsibilities include standardizing incrementality measurement across the organization to reduce misattribution and working with Product Managers and Business Analysts to design early-stage in-market tests. You will also establish an experimental infrastructure, including a centralized repository for hypotheses and results, and mentor Data Scientists on advanced causal inference techniques. Ideal candidates have a strategic impact background, proven experience in optimizing customer funnels and risk policies, and expertise in technical data science tools such as Python, SQL, and statistical software like R or SAS. This role addresses the critical need to bridge technical capabilities with business execution at scale within the retail banking sector.

Skills

Python R SQL Hadoop Spark Azure AWS Kubernetes Docker CI/CD Git Jupyter Tableau PostgreSQL MongoDB DoE A/B Testing Causal Inference

What you'll do

  • Standardize incrementality measurement across the organization to attribute metric improvements accurately.
  • Design in-market tests early with Product Managers and Business Analysts to validate high-risk assumptions.
  • Build experimental infrastructure including a centralized repository for hypotheses and results.
  • Mentor data scientists on advanced causal inference techniques for observational data analysis.
  • Consult on closed-loop experimental frameworks to align predictive backtesting with live operational outcomes.

What we're looking for

  • Proven experience in driving strategic business value through data science.
  • Expertise in designing and implementing experimental infrastructure.
  • Strong background in causal inference techniques and A/B testing.
  • Ability to mentor and consult on advanced data science methodologies.
  • Experience in standardizing incrementality measurement across organizations.
  • Leadership skills for bridging technical data science with business execution.

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