Manager, Data Scientist

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
McLean, VANew York, NY
Employment
Full-time
Posted
63 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $175k
$127k $220k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $138,450–$211,200.

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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Manager, Data Scientist

Role Posting Log in to save

JOB TITLE: Manager, Data Scientist - Card Mainstreet Acquisitions The Manager, Data Scientist - Card Mainstreet Acquisitions joins the Mainstreet Acquisitions team to drive model architecture, risk strategy, and emerging AI capabilities. This role serves as a technical driver for multi-model decisioning pipelines and valuations frameworks. You will identify and mitigate systemic risks within newly launched business decisioning infrastructure, build and deploy solutions centered on Large Language Models and Agentic AI, and partner with cross-functional teams to deliver products. Key responsibilities include performing advanced statistical analysis, building predictive models, and extracting insights from large-scale data. Required skills include proficiency in open-source programming languages, machine learning, and relational databases. You will utilize tools like Python, Scala, R, and SQL within cloud-based processing environments to solve complex credit strategy and risk problems.

Skills

Python SQL Scala R AWS Machine Learning Large Language Models Agentic AI Relational Databases Deep Learning Time Series Clustering Classification Sentiment Analysis Statistical Modeling Big Data

What you'll do

  • Identify and mitigate systemic risks within multi-model business decisioning infrastructure using integrated monitoring frameworks.
  • Use advanced statistical tools to identify gaps and vulnerabilities in existing or new infrastructures.
  • Build and deploy production solutions centered on Large Language Models (LLMs) and Agentic AI.
  • Develop and validate predictive models using machine learning techniques and large-scale cloud processing.
  • Extract insights from diverse data sources to solve complex business problems and improve customer-facing policies.
  • Translate complex technical work into tangible business goals for non-technical stakeholders.
  • Develop data science products and tools in collaboration with software engineers and business analysts.

What we're looking for

  • Must have a Bachelor's in a quantitative field plus 6 years of data analytics experience.
  • Must have a Master's in a quantitative field or MBA with a quantitative concentration plus 4 years of data analytics experience.
  • Must have a PhD in a quantitative field plus 1 year of data analytics experience.
  • Must have at least 1 year of experience leveraging open source programming languages for large scale data analysis.
  • Must have at least 1 year of experience working with machine learning.
  • Must have at least 1 year of experience utilizing relational databases.
  • Must have a PhD in a STEM field plus 3 years of experience in data analytics (preferred).
  • Must have at least 1 year of experience working with AWS (preferred).
  • Must have at least 4 years of experience in Python, Scala, or R for large scale data analysis (preferred).
  • Must have at least 4 years of experience with machine learning (preferred).
  • Must have at least 4 years of experience with SQL (preferred).

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