Drimva

Capital One

Senior Associate, Data Scientist - Business Cards Marketing Data Science

$148K–$169K

New York, NY · Senior · Full-time · Posted Oct 30, 2026

Experience
Bachelor’s route: 2 years performing data analytics. Preferred: at least 2 years in Python, Scala, or R; machine learning; and SQL.
Education
Bachelor’s degree in a quantitative field plus 2 years of data analytics experience, or a master’s degree in a quantitative field or an MBA with a quantitative concentration.
Visa sponsorship
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

About the job

Build and implement data science models that personalize and optimize Business Cards marketing campaigns and support customer acquisition and retention.

What you'll do

  • Partner with data scientists, software engineers, product managers, analysts, and marketers to deliver models used in business decisions and campaigns.
  • Develop machine learning models through design, training, evaluation, validation, and implementation.
  • Analyze large numeric and textual datasets and communicate findings in terms of business goals.

What they ask for

  • Bachelor’s degree in a quantitative field plus 2 years of data analytics experience, or a master’s degree in a quantitative field or an MBA with a quantitative concentration.
  • For the degree requirement, the posting accepts candidates currently obtaining the degree if it is expected by the scheduled start date.

Nice to have

  • Master’s or PhD in a STEM field; experience with AWS.
  • At least 2 years’ experience in Python, Scala, or R; machine learning; or SQL.

Pay

$148,000 - $168,900 USD base salary (New York, NY)

Tools

Python, Conda, AWS, H2O, Spark, Scala, R, SQL

AI focus

Apply machine learning and statistical methods, including LLMs and causal learners, to understand customer behavior and personalize marketing campaigns.

Model-written summary · the original posting is authoritative

First seen Oct 31, 2026 · Last verified Nov 4, 2026 (UTC)