Principal Associate Data Scientist

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $161,800–$184,600 / yr
Posted: 59 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k

This role $173k

$149k most similar roles pay here $250k

This role pays less than 62% of similar roles. Most pay $158,450–$239,902 — the shaded band above. At the midpoint, this role pays about $173k versus about $199k 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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Principal Associate Data Scientist

Role Posting Log in to save

As a Principal Associate, Data Scientist - Card Finance Innovation Team, you will join the Innovation team to power a core forecasting engine that enables Card Finance to manage monthly outlooks, annual budgets, and long-term strategic planning. You will spearhead the architectural design and deployment of a next-generation forecasting ecosystem while collaborating with cross-functional teams of data scientists, software engineers, and product managers. Your daily work involves building machine learning models through all phases of development—including design, training, evaluation, validation, and implementation—to uncover insights within large volumes of numeric and textual data. You will utilize a technical stack including Python, Conda, AWS, H2O, Spark, OneLake, and Snowflake. The role focuses on solving complex forecasting problems and providing automated solutions to navigate the financial complexities of credit card products through advanced statistical modeling and machine learning.

What does a Data Scientist earn in Virginia?

Median $145200 from 75 postings across 5 companies.

See salary data

Skills

Python Snowflake AWS Spark H2O OneLake SQL Conda Scala R Machine Learning Deep Learning Time Series Sentiment Analysis Clustering Classification Statistical Modeling Data Analytics

What you'll do

Design and deploy a next-generation forecasting ecosystem using Python, OneLake, and Snowflake.
Build machine learning models through all phases of development including design, training, evaluation, and validation.
Analyze large volumes of numeric and textual data to uncover hidden insights.
Automate processes and manage model risk governance for the core forecasting engine.
Translate complex technical findings into tangible business goals for stakeholders.
Develop data science solutions using open-source tools and cloud computing platforms like AWS.
Perform advanced statistical modeling including clustering, classification, sentiment analysis, and time series.

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 with Python, Scala, or R.
At least 3 years of experience with machine learning.
At least 3 years of experience with SQL.
At least 1 year of experience working with AWS.
Experience building and validating models using techniques like clustering, classification, sentiment analysis, time series, and deep learning.

Save