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Capital One
Capital One
H1B vizos rėmėjasBankininkystėFinansaiFintech
„Capital One“ yra finansinių paslaugų ir finansinių technologijų įmonė, siūlanti kredito korteles, paskolas automobiliams, bankininkystės ir taupymo produktus. Jos veikloje finansinė patirtis derinama su technologijomis ir skaitmeniniais įrankiais, kad klientams būtų lengviau valdyti savo pinigus. Įmonės karjeros srityje daugiausia dėmesio skiriama į klientus orientuotų sprendimų kūrimui įvairioje ir įtraukioje darbo aplinkoje.
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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.

USJungtinės ValstijosILIlinojusNYNiujorkasVAVirdžinija
179 400 $ – 245 600 $ / metai
HibridinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųDuomenų mokslininkas
Atvirasis kodasAWSDebesijaPythonSpark

Aprašymas

  • 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.

Reikalavimai

  • 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.

Privalumai

  • 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.

Susiję darbai

Ritchie Bros.

Lead Data Scientist

Ritchie Bros.
1 001 – 5 000 Darbuotojai
H1B vizos rėmėjasKonsultavimasLogistikaStatyba
USJungtinės ValstijosILIlinojus
133 690 $ – 167 120 $ / metai
HibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDuomenų mokslininkas

Lead a data science team building scalable machine learning and advanced analytics for the business. Manage and mentor scientists, oversee model development, and work with IT, product, executives, and other stakeholders.

Atidaryti
Capital One

Principal Associate Data Scientist, Alternative Data Strategy

Capital One
H1B vizos rėmėjasBankininkystėFinansaiFintech
USJungtinės ValstijosNYNiujorkasVAVirdžinija
161 800 $ – 201 400 $ / metai
HibridinisVisas etatasVidutinis lygisPrivaloma Kalba: anglųDuomenų mokslininkas
AWSDebesijaPythonScalaSparkSQL

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.

Atidaryti