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, using cutting-edge technologies to unlock opportunities that improve everyday financial lives.

Responsibilities

• Mentor and guide a team of specialists in delivering 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 key business stakeholders.
• Oversee the delivery of production-ready models with a focus on speed, sustainable impact, and a blend of traditional ML and AI-based development.
• Partner with business analysts, software engineers, and product managers to deliver customer-centric products.
• Leverage technologies like Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data.
• Build machine learning models through all phases of development: design, training, evaluation, validation, and implementation.
• Translate complex technical work into tangible business goals using strong interpersonal skills.

Qualifications

Basic Qualifications:

• Currently has, or is in the process of obtaining, one of the following degrees with an expectation of completion on or before the scheduled start date:
  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related 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.

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 is passionate about talent development.
• Customer-first mindset: Analyzes and creates with a focus on making the right decisions for customers.
• Innovation: Researches and evaluates emerging technologies, applying state-of-the-art methods to solve problems.
• Creativity: Thrives on defining big, undefined problems, asking questions, and pushing for answers.
• Technical expertise: Comfortable with open-source languages and cloud computing platforms; hands-on experience developing data science solutions.
• Statistical acumen: Experience building, validating, and backtesting models; interpreting confusion matrices, ROC curves, and working with clustering, classification, sentiment analysis, time series, and deep learning.
• Data proficiency: Skilled in retrieving, combining, and analyzing data from diverse sources and structures.

Pay

The annual salary ranges for this role are as follows (full-time positions only; part-time salaries will be prorated):

• 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 in other locations will be subject to the pay range associated with their location. This role is also eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives.

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 at the Capital One Careers website.