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.
Market check
Salary context
This
$229,900–$262,400
range sits above
92%
of similar postings on FindRole.
Peer median band
$131,600–$225,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$161,812–$214,500
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
489 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 483 roles with salary data.