Senior Associate Data Scientist, US Card DFS Integration

Capital One Financial

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Work type
On-site
Location
Chicago, IL
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $177k
$121k $224k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $140,887–$213,817.

Based on 240 similar postings.

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About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2232 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1142 roles with salary data.

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At a glance

TL;DR · Senior Associate Data Scientist, US Card DFS Integration

The Senior Associate, Data Scientist - US Card DFS Integration joins the Discover Card Customer Management Data Science team to manage models for the Discover Card portfolio. This role involves creating a destination state that integrates models from both Discover and Capital One. You will partner with cross-functional teams of data scientists, software engineers, and product managers to build machine learning models through all phases of development, including design, training, evaluation, validation, and implementation. You will utilize a broad technology stack including Python, Conda, AWS, H2O, Spark, Scala, R, and SQL to analyze large volumes of numeric and textual data. Key technical competencies include clustering, classification, sentiment analysis, time series, and deep learning to solve complex problems within the credit card industry.

What does a Data Scientist earn?

Median $171000 from 337 postings across 65 companies.

See salary data

What you'll do

  • Build machine learning models through all phases of development including design, training, evaluation, and validation.
  • Leverage a broad technology stack including Python, AWS, H2O, and Spark to analyze large datasets.
  • Extract insights from huge volumes of numeric and textual data to drive data-driven decisions.
  • Retrieve and combine data from a variety of sources and structures to support analysis.
  • Translate complex technical findings into understandable information for non-technical stakeholders.
  • Ensure all models used to underwrite the Discover Card portfolio are well-managed.
  • Develop and implement production-ready machine learning solutions for customer-facing products.

What we're looking for

  • Must have a Bachelor's degree in a quantitative field plus 2 years of data analytics experience.
  • Must have a Master's degree in a quantitative field or an MBA with a quantitative concentration.
  • Must have experience building, validating, and backtesting machine learning models.
  • Must have experience with clustering, classification, sentiment analysis, time series, and deep learning.
  • Must have the skills to retrieve, combine, and analyze data from a variety of sources and structures.
  • Master’s degree in a STEM field or a PhD in a STEM field (preferred).
  • At least 2 years of experience in Python, Scala, or R (preferred).
  • At least 2 years of experience with machine learning (preferred).
  • At least 2 years of experience with SQL (preferred).
  • Experience working with AWS (preferred).

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