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Jobs · Engineering · New York

Director, Data Scientist - Business Cards & Payments

Capital One · New York, NY · 3 wk ago
Engineering$269k–$307k/yrFull-time

About the role

The Director, Data Scientist - Business Cards & Payments team enables smarter predictions across the full customer lifecycle for Capital One's Business Cards & Payments products. They build advanced ML solutions backed by robust data infrastructure and rich behavioral signals to power decisions at every stage. They work closely with business and technology partners to translate these capabilities into outcomes that serve both business strategy and customer needs.

Responsibilities

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
  • Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Requirements

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: - A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics
  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics
  • A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics
  • At least 4 years of experience leveraging open source programming languages for large scale data analysis
  • At least 4 years of experience working with machine learning
  • At least 4 years of experience utilizing relational databases

Qualifications

  • PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics
  • At least 1 year of experience working with AWS
  • At least 3 year of experience managing people
  • At least 5 years of experience in Python, Scala, or R for large scale data analysis
  • At least 5 years of experience with machine learning

Skills

  • Customer first
  • Innovative
  • Creative
  • A leader
  • A data guru

Benefits

  • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Pay

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Schedule

Not specified

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