Principal Associate Data Scientist, Emerging ML

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: McLean, VANew York, NYSan Jose, CA
Salary: $161,800–$184,600 / yr
Posted: 45 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $205k

This role $173k

$152k most similar roles pay here $256k

This role pays less than 66% of similar roles. Most pay $164,250–$246,150 — the shaded band above. At the midpoint, this role pays about $173k versus about $205k 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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Principal Associate Data Scientist, Emerging ML

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Principal Associate, Data Scientist - Emerging ML joins the Emerging ML team within the Applied Research organization to focus on research and development of new technologies in Artificial Intelligence, specifically Embeddings and Foundation Models. This individual contributor role involves managing all phases of the data science lifecycle, including designing, training, evaluating, and validating machine learning models for production systems. The successful candidate will partner with product and engineering teams to address business-critical use cases in marketing, servicing, and fraud prevention. Day-to-day tasks include writing software to analyze numerical and textual data from billions of transactions using Python, Scala, Spark, and AWS. Required skills include experience with clustering, classification, sentiment analysis, time series analysis, deep learning, and SQL. The role focuses on solving complex problems by connecting emerging technologies with practical business outcomes across various financial service lines.

What does a Data Scientist earn in Virginia?

Median $145200 from 75 postings across 5 companies.

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Skills

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

What you'll do

Develop 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 for millions of customers.
Conduct experiments with product teams to improve customer experiences in marketing, servicing, and fraud prevention.
Write Python or Scala code to collect, explore, visualize, and analyze large-scale numerical and textual data.
Utilize Spark and AWS tools to process billions of customer transactions, clicks, and payments.
Research and develop new technologies within the domain of Artificial Intelligence, specifically focusing on Embeddings and Foundation Models.
Communicate complex technical findings effectively to non-technical audiences across various business lines.

What we're looking for

A Bachelor's degree in a quantitative field plus 5 years of experience performing data analytics.
A Master's degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics.
A PhD in a quantitative field.
At least 3 years of experience in Python, Scala, or R.
At least 3 years of experience in machine learning.
At least 3 years of experience with SQL.
Experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms.
Proficiency in techniques including clustering, classification, sentiment analysis, time series analysis, and deep learning.

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