Principal Associate, Data Scientist - Partnerships Acquisitions

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VANew York, NYChicago, IL
Salary
$147,100–$167,900 / yr
Posted
4 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $165k
This role $158k
$119k most similar roles pay here $214k

This role pays less than 61% of similar roles. Most pay $132,000–$198,000 — the shaded band above. At the midpoint, this role pays about $158k versus about $165k 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 814 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 809 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Principal Associate, Data Scientist - Partnerships Acquisitions

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As a Principal Associate Data Scientist on the Partnerships Acquisitions team, you will lead the development of advanced machine learning models to enhance credit decisioning processes. Your day-to-day responsibilities include leveraging alternative data sources and cutting-edge modeling techniques to improve customer valuation, product optimization, and application approval rates. You will work in an environment that values innovation and continuous learning, contributing to robust infrastructure and decision accuracy. The role requires expertise in statistical analysis, machine learning algorithms, and proficiency with tools like Python, R, SQL, and data visualization software. This position is ideal for someone with a strong quantitative background and at least five years of experience in data science, aiming to solve complex business problems in the financial services sector.

Skills

Python R SQL Pandas Scikit-learn TensorFlow Keras Spark AWS Git Jupyter Notebook CI/CD Docker GitHub PostgreSQL

What you'll do

  • Lead the development of advanced machine learning models for credit decisioning.
  • Utilize alternative data sources to enhance model accuracy and efficiency.
  • Optimize existing models for product improvement and customer valuation.
  • Collaborate on building robust infrastructure for machine learning operations.
  • Drive innovation in modeling techniques to improve business decisions.

What we're looking for

  • Bachelor's degree in a quantitative field plus 5 years of data science experience.
  • Strong background in statistics and machine learning techniques.
  • Experience with alternative data sources and advanced modeling techniques.
  • Proficiency in building models for credit decisioning and product optimization.
  • Ability to work in a collaborative environment that values innovation and learning.
  • Expertise in robust infrastructure development for efficient model deployment.

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