Data Science Manager

Job not on LinkedIn

October 1

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Logo of Capital One

Capital One

Banking • Fintech • Finance

Capital One is a leading financial services company that specializes in offering credit cards, auto loans, banking, and savings accounts. With a focus on innovation and technology, Capital One aims to change banking for good by providing customer-friendly solutions and fostering a diverse and inclusive workforce. The company is known for its commitment to creating a positive impact in the banking industry through advanced digital tools and customer service excellence.

10,000+ employees

🏦 Banking

💳 Fintech

💸 Finance

💰 Post-IPO Equity on 2023-05

📋 Description

• Lead the design, development, and maintenance of personalization and recommendation models. • Apply modern AI/ML methods (e.g. collaborative filtering, ensemble retrievers, embeddings, neural networks, LLM as a judge, etc.) to optimize and elevate member experiences. • Collaborate with product/business and engineering to integrate models into our platform, including model registration and ongoing measurement. • Develop evaluation frameworks to monitor performance, bias, and accuracy of recommendations. • Champion data-driven decision making across the team. • Work on Velocity Black Concierge product to build AI/ML solutions that are reactive (match member requests to best options) and proactive (surface tailored, curated recommendations in-app).

🎯 Requirements

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics; A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 4 years of experience performing data analytics; A PhD in a quantitative field plus 1 year of experience performing data analytics. • At least 1 years of experience leveraging open source programming languages for large scale data analysis • At least 1 year of experience working with machine learning • At least 1 year of experience utilizing relational databases • PhD in “STEM” field (preferred) • Strong proficiency in Python and SQL for large scale data analysis (preferred) • At least 1 year of experience preparing and transforming large, messy, or sparse datasets for modeling (preferred) • At least 1 year of experience designing, training, and deploying large-scale models in production (preferred) • At least 1 year of experience in model lifecycle management and ML ops practices (monitoring, feature stores, retraining, experimentation, and A/B testing) (preferred) • At least 1 year of experience collaborating cross-functionally with product and engineering to translate business problems into ML solutions (preferred) • Familiarity with sophisticated ML approaches to personalization models or recommendation systems (preferred) • Demonstrated ability to influence stakeholders and lead technical strategy (preferred) • Customer first, creative, leader, technical, data guru (Ideal Candidate attributes)

🏖️ Benefits

• 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. • Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. • Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. • Capital One is open to hiring a Remote Employee for this opportunity.

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