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Capital One
Capital One
H1B Visa SponsorBankingFinanceFintech
Capital One is a financial services and fintech company offering credit cards, auto loans, banking, and savings products. Its work combines financial expertise with technology and digital tools to improve how customers manage money. The company’s careers focus includes building customer-oriented solutions within a diverse and inclusive workforce.
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Senior Director of Data Science at Capital One (Remote)

Lead agentic AI product development and machine-learning strategy at Capital One. Guide experimentation, model governance, and enterprise data-science direction.

USUnited StatesCACaliforniaMAMassachusettsNYNew YorkVAVirginia
$286,200 – $392,000 / year
RemoteFull-timeSeniorEnglish RequiredData Scientist
AnsibleAWSChefCloudJenkinsMicroservicesPythonScala

Description

  • Collaborate with software engineers, distinguished researchers, and solutions architects to inform decisions through modeling
  • Establish a target state centered on simplicity, digital technologies, cloud hosting, and open-source software
  • Translate complex, interconnected modeling systems for senior business leaders, covering model strategy, applications, and risks
  • Evaluate, challenge, and defend advanced decision-making systems with internal and regulatory stakeholders
  • Lead machine-learning model development from design and training through evaluation, validation, and implementation
  • Oversee benchmark and challenger models to stress-test critical modeling decisions
  • Create AI/ML models and solutions for agentic AI products
  • Develop experiments, A/B tests, and model telemetry, then convert findings into AI strategy and guidance for C-suite leaders

Requirements

  • Bachelor’s degree in a quantitative field and 11 years of data analytics experience; or a master’s degree/MBA with a quantitative concentration and 9 years; or a quantitative PhD and 6 years
  • Hold or be pursuing the required degree, with completion expected by the scheduled start date
  • At least 6 years of experience using open-source programming languages for large-scale data analysis
  • At least 6 years of machine-learning experience
  • At least 6 years of experience working with relational databases
  • Hands-on experience developing data-science solutions with open-source tools and cloud-computing platforms
  • Experience developing, validating, and backtesting models
  • Experience with clustering, classification, sentiment analysis, time series, and deep learning
  • Preferred: PhD in STEM and 5 years of data analytics experience
  • Preferred: at least 6 years of experience using Python, Scala, or R for large-scale data analysis
  • Preferred: at least 6 years of machine-learning experience
  • Preferred: at least 2 years of AWS experience
  • Preferred: at least 6 years of experience with complex architectural patterns, including SOA, APIs, microservices, and event streams
  • Preferred: at least 6 years of DevOps or DevSecOps experience with CI/CD tools including Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation, GitHub, and Sonar

Benefits

  • Performance-based incentive compensation, potentially including cash bonuses and/or long-term incentives
  • Broad, competitive, and inclusive health, financial, and other benefits designed to support total well-being
  • Employment authorization sponsorship may be considered for qualified new applicants
  • Remote work option

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