Senior Associate Data Scientist, Card Intelligence

Capital One Financial

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Quick summary

Work type
On-site
Location
McLean, VANew York, NY
Salary
$135,600–$154,800 / yr
Employment
Full-time
Posted
20 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k
This role $145k
$125k $214k
below market most similar roles pay here above market

This role pays less than 62% of similar roles. Most pay $135,000–$204,837 — the blue band above. At the midpoint, this role pays about $145k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

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 2229 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1126 roles with salary data.

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At a glance

TL;DR · Senior Associate Data Scientist, Card Intelligence

The Senior Associate, Data Scientist - Card Intelligence joins the US Card Data Science organization to drive business strategy and enhance customer experiences. In this role, you will partner with cross-functional teams of data scientists, software engineers, and product managers to build and deploy sophisticated machine learning models across the entire credit card lifecycle, including marketing, acquisitions, underwriting, and fraud prevention. You will develop models through all phases of design, training, evaluation, validation, and implementation. To succeed, you must utilize a broad technology stack including Python, Conda, AWS, H2O, Spark, and SQL. You will analyze huge volumes of numeric and textual data to solve complex problems, applying skills in clustering, classification, sentiment analysis, time series, and deep learning to shape financial products for millions of cardholders.

What does a Data Scientist earn in Virginia?

Median $162000 from 90 postings across 8 companies.

See salary data

What you'll do

  • Build machine learning models through all phases of development including design, training, evaluation, and implementation.
  • Leverage Python, Conda, AWS, H2O, and Spark to extract insights from large volumes of numeric and textual data.
  • Retrieve, combine, and analyze data from a variety of sources and structures to support business strategy.
  • Develop data science solutions for marketing, acquisitions, underwriting, and fraud prevention.
  • Translate complex technical work into tangible business goals for non-technical stakeholders.
  • Research and evaluate emerging technologies and state-of-the-art methods to apply to company products.
  • Validate and backtest models using metrics such as confusion matrices and ROC curves.

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.
  • Experience with clustering, classification, sentiment analysis, time series, and deep learning.
  • Experience building, validating, and backtesting machine learning models.
  • Experience retrieving and analyzing data from a variety of sources and structures.
  • Experience with Python, Scala, or R (preferred).
  • Experience with machine learning (preferred).
  • Experience with SQL (preferred).

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