Principal Associate Data Scientist, Financial Services

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Plano, TXMcLean, VA
Salary: $161,800–$184,600 / yr
Posted: 14 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 $177k

This role $173k

$126k most similar roles pay here $224k

This role pays more than 52% of similar roles. Most pay $140,412–$214,525 — the shaded band above. At the midpoint, this role pays about $173k versus about $177k 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, Financial Services

Role Posting Log in to save

Principal Associate, Data Scientist -Financial Services joins a team focused on leveraging data-driven decision-making to solve complex financial problems for customers. In this role, you will partner with cross-functional teams of software engineers and product managers to build machine learning models through every phase of development, including design, training, evaluation, validation, and implementation. You will analyze large volumes of numeric and textual data to uncover hidden insights and translate technical complexities into tangible business goals. The required toolkit includes Python, Conda, AWS, H2O, Spark, SQL, and experience with Scala or R. Key competencies include expertise in clustering, classification, sentiment analysis, time series, and deep learning. You will work with big data from various sources to provide solutions within the financial services domain using advanced statistical modeling and cloud computing platforms.

What does a Data Scientist earn in Virginia?

Median $145200 from 75 postings across 5 companies.

See salary data

Skills

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

What you'll do

Build machine learning models through all phases of development including design, training, evaluation, validation, and implementation.
Use a broad stack of technologies including Python, Conda, AWS, H2O, and Spark to analyze large volumes of data.
Extract insights from massive amounts of numeric and textual data to drive business decisions.
Translate complex technical findings into tangible business goals for non-technical stakeholders.
Research and evaluate emerging technologies and state-of-the-art methods to improve existing processes.
Solve large, undefined problems by identifying opportunities to improve the status quo.
Retrieve, combine, and analyze data from a variety of sources and structures.

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

Save