Principal Associate Data Scientist, Emerging ML

Capital One Financial

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Quick summary

Work type
On-site
Location
McLean, VANew York, NYSan Jose, CA
Salary
$161,800–$184,600 / yr
Employment
Full-time
Posted
91 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $203k
This role $173k
$136k $273k
below market most similar roles pay here above market

This role pays less than 68% of similar roles. Most pay $173,200–$232,850 — the blue band above. At the midpoint, this role pays about $173k versus about $203k 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 2107 open roles on FindRole.

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

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Principal Associate Data Scientist, Emerging ML

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The Principal Associate, Data Scientist - Emerging ML joins the Emerging ML team within the Applied Research organization. This individual contributor role focuses on the research and development of new technologies within the domain of Artificial Intelligence, specifically targeting Embeddings and Foundation Models. The successful candidate will manage the full data science lifecycle, building machine learning models from design through training, evaluation, and validation. Key responsibilities include partnering with engineering teams to operationalize models into scalable production systems and conducting experiments to improve customer experiences in marketing, servicing, and fraud prevention. Required technical skills include Python, Scala, SQL, Spark, and AWS. The role involves analyzing billions of numerical and textual records using deep learning, clustering, classification, sentiment analysis, and time series analysis to solve complex business problems.

What does a Data Scientist earn in Virginia?

Median $162000 from 89 postings across 9 companies.

See salary data

Skills

Python Scala R SQL Spark AWS Machine Learning Deep Learning Artificial Intelligence Embeddings Foundation Models Statistical Modeling Time Series Analysis Sentiment Analysis Clustering Classification

What you'll do

  • Build machine learning models through all phases of development including design, training, evaluation, and validation.
  • Partner with engineering teams to operationalize models into scalable and resilient production systems.
  • Conduct experiments to guide improvements in customer experience and business outcomes for marketing, servicing, and fraud prevention.
  • Write software in Python or Scala to collect, explore, visualize, and analyze numerical and textual data.
  • Process and analyze petabytes of customer transactions, clicks, and payments using Spark and AWS.
  • Research and develop new technologies within the domain of Artificial Intelligence, specifically focusing on Embeddings and Foundation Models.
  • Communicate technical findings and data insights clearly to non-technical audiences.

What we're looking for

  • Must have a Bachelor's degree in a quantitative field plus 5 years of data analytics experience.
  • Must have a Master's degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of data analytics experience.
  • Must have a PhD in a quantitative field.
  • Must have hands-on experience developing data science solutions from concept to production using open source tools and cloud platforms.
  • Must have experience with clustering, classification, sentiment analysis, time series analysis, and deep learning.
  • Must be able to communicate findings clearly and effectively to non-technical audiences.
  • Must have at least 3 years of experience in Python, Scala, or R (preferred).
  • Must have at least 3 years of experience with machine learning (preferred).
  • Must have at least 3 years of experience with SQL (preferred).

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