Senior Manager, Data Scientist -Retail Bank Data Science Experimentation Lead

Senior Manager, Data Scientist – Retail Bank Data Science Experimentation Lead

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision‑making.

The Retail Bank Data Science is establishing a centralized authority for experimental design to validate and prioritize competing hypotheses. As the DoE and Causal Inference Lead, you will act as a strategic force multiplier, ensuring that our product roadmap is validated through rigorous testing and providing a clear, defensible line of sight into the incremental value of our initiatives.

• 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.

• Strategic Impact & Experimental Rigor – Proven track record of driving strategic business value by optimizing customer experience funnels and risk policies, effectively evaluating external data, and institutionalizing closed‑loop experimental frameworks.
• Customer first – You love the process of analyzing and creating, but also share our passion to do the right thing.
• A leader – You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
• Technical – Comfortable with open‑source languages and passionate about developing further. Hands‑on experience developing data science solutions using open‑source tools and cloud computing platforms.

• A 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.
• A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 5 years of experience performing data analytics.
• A PhD in a 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.

• 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.

McLean, VA: $229,900 - $262,400 for Sr Mgr, Data Science. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).

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

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. We consider qualified applicants with a criminal history in a manner consistent with applicable laws.

For accommodations or technical support, please contact Capital One Recruiting.