Capital One

At Capital One, we think and work like a tech company, using our digital fluency to transform everything about the customer experience. We’re bending data to our will, and turning a stodgy industry on its head. That’s reflected in our ranking as the number one business technology innovator in the U.S. in the 2016 InformationWeek Elite 100.

Data Science Manager

Data ScientistData ScientistFull TimeRemoteTeam 10,001+Since 1994H1B SponsorCompany SiteLinkedIn

Location

Virginia

Posted

164 days ago

Salary

$175.8K - $200.7K / year

Bachelor Degree1 yr expEnglishOpen SourcePythonSQL

Job 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).

Job 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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