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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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Director of Data Science, Consumer and Developer Experience

Lead data science initiatives at Capital One, developing machine learning and analytics products for more than 100 million banking customers. Work with engineering and product teams using large-scale cloud data.

USUnited StatesCACaliforniaILIllinoisNYNew YorkVAVirginia
$244,700 – $335,100 / year
RemoteFull-timeLeadEnglish RequiredDeveloper Relations
AWSCloudOpen SourcePythonScalaSpark

Description

  • Work with data scientists, software engineers, and product managers to deliver customer-focused products.
  • Use Python, Conda, AWS, H2O, Spark, and related tools to find insights in large volumes of numeric and textual data.
  • Design, train, evaluate, validate, and implement machine learning models.
  • Connect complex data science work to concrete business goals.
  • Research emerging technologies and evaluate current methods.
  • Question existing approaches and work with stakeholders to improve them.
  • Build talent within the team and across the organization.
  • Retrieve, combine, and analyze data from diverse sources and formats.

Requirements

  • Bachelor’s degree and 9 years of data analytics experience, a master’s degree and 7 years, or a PhD and 4 years.
  • At least 4 years using open-source programming languages for large-scale data analysis.
  • At least 4 years of machine learning experience.
  • At least 4 years of relational database experience.
  • Practical experience developing data science solutions with open-source tools and cloud platforms.
  • Experience with clustering, classification, sentiment analysis, time series, and deep learning.
  • Experience retrieving, combining, and analyzing data from diverse sources and formats.
  • Preferred: PhD in a STEM field and 5 years of data analytics experience.
  • Preferred: At least 1 year working with AWS.
  • Preferred: At least 3 years managing people.
  • Preferred: At least 5 years using Python, Scala, or R for large-scale data analysis.
  • Preferred: At least 5 years of machine learning experience.

Benefits

  • Performance-based incentive compensation, potentially including cash bonuses or long-term incentives.
  • A broad, competitive benefits package covering health, finances, and overall well-being.
  • Employment authorization sponsorship may be considered for qualified new applicants.

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