Capital One

Principal Associate, Data Scientist – People Tech Innovation Hub

Capital One

full-time

Posted on:

Location Type: Office

Location: McLean • Illinois, Texas, Virginia • 🇺🇸 United States

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Salary

💰 $144,200 - $181,000 per year

Job Level

JuniorMid-Level

Tech Stack

AWSPythonScalaSparkSQL

About the role

  • 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

  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 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 3 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)
  • Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
  • At least 1 year of experience working with AWS
  • At least 3 years’ experience in Python, Scala
  • At least 3 years’ experience with machine learning
  • At least 3 years’ experience with SQL
  • At least 1 year of experience working on RAG (retrieval augmented generation) based AI workflows, evaluating the output of GenAI models
  • Experience in working with Vector Databases to indexing of text using chunking and embedding models.
Benefits
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities
  • Performance-based incentive compensation

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonScalaSQLmachine learningdata analyticsH2OSparkRAGvector databasesembedding models
Soft skills
interpersonal skillscommunication
Certifications
Bachelor's DegreeMaster's DegreePhD
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