Principal Associate Data Scientist, Generative AI Systems

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: McLean, VANew York, NY
Salary: $161,800–$184,600 / yr
Posted: 7 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 $196k

This role $173k

$134k most similar roles pay here $244k

This role pays less than 58% of similar roles. Most pay $158,787–$232,500 — the shaded band above. At the midpoint, this role pays about $173k versus about $196k for comparable roles.

Based on 239 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, Generative AI Systems

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Principal Associate, Data Scientist - US Card (Generative AI Systems) joins the Generative AI Systems team to develop advanced solutions for dialogue, text summarization, reading comprehension, speech recognition, image processing, and time-series sequencing modeling. Working alongside specialists in natural language processing, speech, and computer vision, you will build machine learning models through every phase of development, from design and training to evaluation and implementation. You will collaborate with cross-functional teams to deliver internal tools for business efficiency and customer-facing applications. The role requires expertise in Python, Conda, AWS, H2O, Spark, SQL, Scala, or R to analyze large volumes of numeric and textual data. This position focuses on the credit card industry, specifically leveraging generative AI technologies to solve complex problems in data analytics and enhance the overall customer experience through innovative machine learning applications.

What does a Data Scientist earn in Virginia?

Median $145200 from 75 postings across 5 companies.

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Skills

Generative AI Python AWS Spark H2O SQL Scala R Conda Machine Learning NLP Deep Learning Time-series Computer Vision Big Data Statistical Modeling

What you'll do

Build generative AI models for dialogue, text summarization, speech recognition, and image processing.
Develop machine learning models through all phases of development including design, training, evaluation, and validation.
Analyze large volumes of numeric and textual data using Python, Spark, and AWS to uncover insights.
Implement software solutions that drive internal business efficiency and enhance customer-facing applications.
Research and evaluate emerging technologies in generative AI and natural language processing.
Translate complex technical findings into tangible business goals for cross-functional partners.
Contribute research to major NLP and AI/ML conferences.

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 1 year of experience working with AWS.
At least 3 years of experience in Python, Scala, or R.
At least 3 years of experience with machine learning.
At least 3 years of experience with SQL.
Experience with advanced techniques including clustering, classification, sentiment analysis, time series, and deep learning.

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