Principal Data Scientist, AI for Data and Assessment

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: McLean, VANew York, NYSan Jose, CA
Salary: $161,800–$184,600 / yr
Posted: 4 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 $166k

This role $173k

$105k most similar roles pay here $232k

This role pays more than 60% of similar roles. Most pay $128,533–$204,050 — the shaded band above. At the midpoint, this role pays about $173k versus about $166k 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 889 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 886 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Principal Data Scientist, AI for Data and Assessment

Role Posting Log in to save

Principal Data Scientist - AI for Data and Assessment joins the AI for Data team to build and ship state-of-the-art machine learning solutions supporting the enterprise data lifecycle. Working within a cross-functional team of engineers and product managers, you will develop products that enhance productivity for internal users by creating next-generation experiences powered by emerging technologies. You will manage the full machine learning lifecycle, including design, training, evaluation, validation, and implementation to uncover insights from massive volumes of numeric and textual data. The role requires proficiency in Python, Conda, AWS, H2O, Spark, SQL, and Deep Learning frameworks for tasks like clustering, classification, sentiment analysis, and time series. You will solve complex problems regarding the management and utilization of large-scale datasets to drive innovation within the company's internal data and platform infrastructure.

What does a Data Scientist earn in Virginia?

Median $145200 from 78 postings across 6 companies.

See salary data

Skills

Python SQL AWS Spark H2O Conda Deep Learning Natural Language Processing Machine Learning Big Data Statistical Modeling Time Series Sentiment Analysis Clustering Classification

What you'll do

Build machine learning models through all phases of development including design, training, evaluation, validation, and implementation.
Use Python, Spark, and AWS to extract insights from large volumes of numeric and textual data.
Develop state-of-the-art machine learning solutions to support the enterprise data lifecycle.
Research and evaluate emerging technologies to create next-generation experiences powered by new ML methods.
Translate complex technical work into tangible business goals for non-technical stakeholders.
Solve large, undefined problems by identifying core requirements and proposing innovative solutions.
Analyze and combine data from diverse sources and structures to drive product innovation.

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.
Master’s Degree in a STEM field plus 3 years of experience in data analytics (preferred).
PhD in a STEM field (preferred).
At least 1 year of experience working with AWS (preferred).
At least 3 years' experience in Python and SQL (preferred).
At least 3 years' experience with Deep Learning Frameworks and Natural Language Processing (preferred).

Save