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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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Manager, Data Scientist – Alternative Data Strategy

Lead data science work at Capital One to assess alternative data for US Card credit decisions. Develop machine learning models, data features, and scalable monitoring systems.

USUnited StatesILIllinoisNYNew YorkVAVirginia
$179,400 – $245,600 / year
HybridFull-timeMiddleSeniorEnglish RequiredData Scientist
AWSCloudOpen SourcePythonSpark

Description

  • Assess emerging vendors and data products for US Card credit decisions.
  • Create high-impact features and scalable data processing and monitoring systems.
  • Act as the data domain expert, advising on dataset applications.
  • Manage risk governance for vendor models and develop challenger models with new data.
  • Work with data scientists, software engineers, and product managers to deliver customer products.
  • Analyze large volumes of numeric and text data using Python, Conda, AWS, H2O, Spark, and other tools.
  • Develop machine learning models from design and training through evaluation, validation, and implementation.
  • Connect complex data science work to concrete business objectives.
  • Investigate and assess emerging technologies and advanced methods.
  • Keep learning and collaborate across teams.

Requirements

  • Have or be on track to earn by the scheduled start date a bachelor's degree in a quantitative field and 6 years of data analytics experience; a master's degree in a quantitative field or an MBA with a quantitative concentration and 4 years of data analytics experience; or a PhD in a quantitative field and 1 year of data analytics experience.
  • At least 1 year of experience using open source programming languages for large-scale data analysis.
  • At least 1 year of machine learning experience.
  • At least 1 year of experience using relational databases.
  • Hands-on experience developing data science solutions with open-source tools and cloud computing platforms.
  • Experience building, validating, and backtesting models.
  • Experience with clustering, classification, sentiment analysis, time series, and deep learning.
  • Ability to retrieve, combine, and analyze data from varied sources and structures.
  • Capital One will consider employment authorization sponsorship for a new qualified applicant.

Benefits

  • Performance-based incentive compensation, potentially including cash bonuses and/or long-term incentives.
  • Comprehensive, competitive, inclusive health, financial, and other benefits that support overall well-being.
  • Consideration for employment authorization sponsorship for a new qualified applicant.

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