Senior Manager, Data Science - US Card (Partnerships Customer Management)
About the Role
As a Data Science Leader at Capital One, you’ll head our Partnerships Customer Management Data Science team, applying advanced machine learning to build high-impact predictive models for our Partnership credit card portfolio. You’ll lead a team delivering models that predict credit risk, account usage, and portfolio financials while partnering with cross-functional teams to create products customers love. This role combines deep technical expertise with strategic leadership to drive innovation at scale.
Responsibilities
- Mentor and guide a team of specialists in delivering production-ready predictive models for credit risk, account usage, and portfolio financials.
- Own the team’s strategic roadmap and project management for end-to-end model development, ensuring alignment with business stakeholders.
- Oversee the delivery of models with a focus on speed, sustainable impact, and a blend of traditional ML and AI-based development.
- Collaborate with business analysts, software engineers, and product managers to translate complex data insights into tangible business goals.
- Build machine learning models through all phases: design, training, evaluation, validation, and implementation.
- Leverage technologies like Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data.
- Translate technical work into clear, actionable business outcomes using strong interpersonal skills.
Qualifications
Basic Qualifications
- Currently has, or is in the process of obtaining, one of the following degrees (to be completed by the scheduled start date):
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) 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.
Preferred Qualifications
- PhD in a STEM field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in model development.
- At least 1 year of experience working with AWS.
- At least 1 year of experience managing people.
- At least 5 years of experience in Python.
- At least 5 years of experience with machine learning models.
Skills
- Leadership: Challenges conventional thinking, identifies improvements, and develops talent within and beyond your team.
- Customer-First Mindset: Balances analytical rigor with a passion for making decisions that benefit customers.
- Innovation: Researches and evaluates emerging technologies, applying state-of-the-art methods to solve problems.
- Creativity: Thrives on defining and solving big, undefined problems; comfortable sharing and iterating on new ideas.
- Technical Expertise: Proficient in open-source languages and cloud computing platforms; hands-on experience developing data science solutions.
- Statistical Acumen: Experienced in building, validating, and backtesting models; interprets confusion matrices, ROC curves, and techniques like clustering, classification, sentiment analysis, time series, and deep learning.
- Data Proficiency: Skilled in retrieving, combining, and analyzing data from diverse sources and structures; understands data as the foundation of great data science.
Pay
Full-time annual salary ranges by location (prorated for part-time roles):
- Cambridge, MA: $229,900 - $262,400
- Chicago, IL: $209,000 - $238,500
- McLean, VA: $229,900 - $262,400
- New York, NY: $250,800 - $286,200
Candidates hired for other locations will be subject to the pay range associated with their work location. The role is also eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives (LTI).
Benefits
Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits to support total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. Learn more.