Manager, Data Scientist - SBB Marketing & Deposit Strategy

Build machine learning and customer value models for Small Business Bank while partnering with cross-functional teams to drive strategic decisions. Responsibilities Collaborate with a cross-functional team of data scientists, software engineers, and product managers to deliver customer-focused data products Apply a broad technology stack to uncover patterns in large-scale numeric and textual data (including Python , Conda , AWS , H2O , Spark , and more) Lead machine learning model development end-to-end: design, training, evaluation, validation, and implementation Translate analytical work into tangible business goals for Small Business Bank (SBB) Develop account-level lifetime value ( NPV ) models to forecast revenue and cost drivers that inform SBB strategy Requirements Option A: Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of data analytics experience Option B: Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of data analytics experience Option C: PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of data analytics experience At least 1 year leveraging open source programming languages for large scale data analysis At least 1 year working with machine learning At least 1 year utilizing relational databases Technologies Python Conda AWS H2O Spark Dask SQL Preferred Qualifications PhD in a STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of data analytics experience At least 1 year of experience working with AWS At least 4 years of experience in Python, Dask, Spark (or similar) for large scale data analysis At least 4 years of experience with machine learning and statistical modeling At least 4 years of experience with SQL Team and Mission Small businesses make up 99% of U.S. firms and drive 44% of the nation’s GDP At Small Business Bank (SBB) , the mission is to advocate for entrepreneurs and support their long‑term success The SBB Data Science team focuses on statistics, machine learning, and emerging AI technologies Partners across the organization to optimize performance and impact of financial products, policies, and services Benefits Comprehensive, competitive, and inclusive health, financial, and other benefits that support total well‑being Compensation McLean, VA: $197,300 - $225,100 per year (Mgr, Data Science) Eligible for performance‑based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI) Incentives could be discretionary or non‑discretionary depending on the plan Other Information Capital One will consider sponsoring a new qualified applicant for employment authorization for this position Expected to accept applications for a minimum of 5 business days No agencies please Equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination under applicable federal, state, and local laws Promotes a drug‑free workplace Accommodations: contact Capital One Recruiting at View phone number on click.appcast.io or View email address on click.appcast.io Technical support/questions: View email address on click.appcast.io Capital One does not provide, endorse, or guarantee third‑party products, services, educational tools, or other information available through this site Capital One Financial includes multiple entities; postings are associated to their respective regional entities (Canada, UK, or Philippines) as applicable #J-18808-Ljbffr Information Technology Senior Management Forum