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 be part of a team leading disruption at scale, using cutting-edge computing and machine learning technologies across billions of customer records to unlock opportunities that help everyday people save money, time, and improve their financial lives.
Responsibilities
- Mentor and guide a team of specialists delivering models that predict 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 and sustainable impact, combining traditional ML with AI-based development.
- Partner with cross-functional teams (business analysts, software engineers, product managers) to deliver customer-centric products.
- Leverage technologies like Python, Conda, AWS, H2O, and Spark to extract insights from large volumes of numeric and textual data.
- Develop machine learning models through all phases: 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 (degree must be obtained on or before 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.
- Customer-First Mindset: Passionate about analyzing and creating solutions that prioritize customer needs.
- Innovation: Researches and evaluates emerging technologies, applying state-of-the-art methods to real-world problems.
- Creativity: Thrives on defining and solving big, undefined problems; comfortable sharing new ideas.
- Technical Expertise: Proficient in open-source languages and cloud computing platforms; hands-on experience developing data science solutions.
- Statistical Acumen: Experience building, validating, and backtesting models; interprets confusion matrices, ROC curves, and applies 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 in other locations will be subject to the pay range associated with their work location. The actual salary offered will be reflected in the candidate’s offer letter. 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/part-time status, exempt/non-exempt status, and management level. Learn more at the Capital One Careers website.