Senior Associate Data Scientist

Capital One Financial

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Quick summary

Work type: On-site
Location: McLean, VARichmond, VAChicago, ILNew York, NY
Salary: $123,300–$140,700 / yr
Employment: Full-time
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $189k

This role $132k

$111k most similar roles pay here $239k

This role pays less than 88% of similar roles. Most pay $150,289–$227,012 — the shaded band above. At the midpoint, this role pays about $132k versus about $189k 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 1783 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 942 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Associate Data Scientist

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Senior Associate, Data Scientist - Capital One Personal Loan joins the Personal Loan Acquisition modeling team to build machine learning models that help customers access appropriate loan products at optimal rates. Working within a cross-functional team of data scientists, software engineers, and product managers, the role involves developing predictive TDR and non-TDR models for acquisition processes including list selection, campaign optimization, underwriting, pricing, and verification. The successful candidate will build models through all phases of development, from design to implementation, while revealing insights within large volumes of numeric and textual data. Required technical skills include Python, Spark, AWS, Conda, and H2O. The role requires expertise in clustering, classification, sentiment analysis, time series, and deep learning to solve complex business problems within the personal loan product area.

What does a Data Scientist earn in Virginia?

Median $145200 from 73 postings across 8 companies.

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Skills

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

What you'll do

Build machine learning models through all phases of development including design, training, evaluation, and implementation.
Use Python, Spark, AWS, and H2O to extract insights from large volumes of numeric and textual data.
Develop predictive TDR and non-TDR models for list selection, campaign optimization, underwriting, and pricing.
Retrieve, combine, and analyze data from a variety of sources and structures to support big data initiatives.
Translate complex technical work into tangible business goals for stakeholders and cross-functional teams.
Research and evaluate emerging technologies and state-of-the-art methods to apply to company products.

What we're looking for

Bachelor's Degree in a quantitative field plus 2 years of experience performing data analytics.
Master's Degree in a quantitative field or an MBA with a quantitative concentration.
Experience developing data science solutions using open-source tools and cloud computing platforms.
Experience building, validating, and backtesting models including clustering, classification, sentiment analysis, time series, and deep learning.
Experience retrieving, combining, and analyzing data from a variety of sources and structures.
Master’s Degree in a STEM field or a PhD in a STEM field (preferred).
Experience working with AWS (preferred).
At least 2 years’ experience in Python, Scala, or R (preferred).
At least 2 years’ experience with machine learning marketing or risk modeling (preferred).
At least 2 years’ experience with SQL (preferred).

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