Capital One
Capital One
Capital One ir finanšu pakalpojumu un finanšu tehnoloģiju uzņēmums, kas piedāvā kredītkartes, auto aizdevumus, banku un uzkrājumu produktus. Uzņēmuma darbā finanšu zināšanas tiek apvienotas ar tehnoloģijām un digitālajiem rīkiem, lai uzlabotu to, kā klienti pārvalda savu naudu. Uzņēmuma karjeras iespējas ir vērstas uz klientiem paredzētu risinājumu veidošanu daudzveidīgā un iekļaujošā darba vidē.

Principal Associate Data Scientist, Alternative Data Strategy

Evaluate alternative data and develop machine learning models for Capital One’s US Card credit strategies. Work in a hybrid role with science, engineering, and product teams.

Apraksts

  • Assess emerging alternative data vendors and products for US Card credit decisions
  • Develop high-impact features
  • Create scalable data processing and monitoring systems
  • Guide dataset applications as the dedicated data domain expert
  • Navigate risk governance for vendor models
  • Develop challenger models using new data to improve existing models
  • Collaborate with data scientists, software engineers, and product managers
  • Analyze numeric and text data using Python, Conda, AWS, H2O, Spark, and other technologies
  • Design, train, evaluate, validate, and implement machine learning models
  • Connect complex data science work to concrete business goals
  • Research emerging technologies and keep up with current methods

Prasības

  • Hold a bachelor's degree in a quantitative field and have 5 years of data analytics experience; or hold a master's degree in a quantitative field or an MBA with a quantitative concentration and have 3 years of data analytics experience; or hold a PhD in a quantitative field
  • Obtain the required degree by the scheduled start date
  • Have experience in data analytics
  • Have at least 1 year of experience working with AWS
  • Have at least 3 years of experience with Python, Scala, or R
  • Have at least 3 years of machine learning experience
  • Have at least 3 years of experience with SQL
  • Have hands-on experience developing data science solutions with open-source tools and cloud computing platforms
  • Have experience with statistical modeling, model validation, and backtesting
  • Know confusion matrices, ROC curves, clustering, classification, sentiment analysis, time series, and deep learning
  • Be able to retrieve, combine, and analyze data from varied sources and structures
  • Capital One will consider sponsoring a new qualified applicant for employment authorization

Priekšrocības

  • Performance-based incentive compensation, including cash bonuses and/or long-term incentives
  • Comprehensive, competitive, inclusive health, financial, and other benefits to support overall well-being
  • Equal opportunity and non-discrimination commitment
  • Reasonable accommodation support

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