Senior Associate, Data Scientist - Us Card (marketing)

Capital One

McLean, Virginia, United States
Base: mclean va $135,600-$154,800; new york ny $14...
Not specified (assumed hybrid based on industry trends)
Python, scala, or r programming experience
Machine learning model development and validation
Sql database querying and management
Capital One is seeking a Senior Associate Data Scientist for their US Card marketing team, focused on leveraging data science and machine learning to enhance customer targeting and product offerings. The ideal candidate will have strong technical skills, innovative thinking, and experience in building machine learning models

Job Summary

  • The role involves building machine learning models to target customers with the right products at the right time within a collaborative cross-functional team.
  • Candidates will leverage a broad stack of technologies including Python, AWS, and Spark to analyze huge volumes of numeric and textual data.
  • Capital One offers competitive salaries ranging from $135,600 to $168,900 depending on location, along with performance-based incentive compensation.

Matching Summary

Match Score: 85

Capital One is seeking a Senior Associate Data Scientist for their US Card marketing team, focused on leveraging data science and machine learning to enhance customer targeting and product offerings. The ideal candidate will have strong technical skills, innovative thinking, and experience in building machine learning models.

Salary

Base: McLean VA $135,600-$154,800; New York NY $148,000-$168,900; Bonus/Equity: Performance based incentive compensation available; Benefits: Comprehensive health, financial, and other benefits included

Skills & Requirements

Must-have

  • Python, Scala, or R programming experience
  • Machine learning model development and validation
  • SQL database querying and management
  • AWS cloud computing platform usage
  • Bachelor's degree in quantitative field

Nice-to-have

  • Master's or PhD in STEM field
  • Experience with H2O and Spark frameworks
  • Background in clustering and time series analysis
  • Ability to translate complex work to business goals
  • Innovative research on emerging technologies

Key Requirements

  • Bachelor's degree plus 2 years experience OR Master's degree
  • Minimum 2 years experience in Python, Scala, or R
  • Minimum 2 years experience with machine learning
  • Minimum 2 years experience with SQL
  • Eligibility for employment authorization sponsorship

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter