Data Scientist Manager

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VANew York, NYRichmond, VA
Salary: $197,300–$225,100 / yr
Employment: Full-time
Posted: 49 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $173k

This role $211k

$124k $236k

below market most similar roles pay here above market

This role pays more than 75% of similar roles. Most pay $135,000–$211,775 — the blue band above. At the midpoint, this role pays about $211k versus about $173k 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 2130 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1112 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Data Scientist Manager

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JOB TITLE: Manager, Data Scientist - Card Mainstreet The Manager, Data Scientist - Card Mainstreet joins a team focused on data-driven decision-making within the credit card industry. In this role, you will partner with cross-functional teams of data scientists, software engineers, and product managers to deliver customer-facing products. Your daily responsibilities include building machine learning models through all phases of development, including design, training, evaluation, validation, and implementation. You will leverage a technical stack featuring Python, Conda, AWS, H2O, Spark, and relational databases to extract insights from massive volumes of numeric and textual data. Key competencies include performing clustering, classification, sentiment analysis, time series, and deep learning. You will solve complex business problems by translating technical complexities into tangible goals while managing large-scale data analysis to improve financial outcomes for customers.

Skills

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

What you'll do

Build machine learning models through all phases of development including design, training, evaluation, and implementation.
Leverage Python, Conda, AWS, H2O, and Spark to extract insights from large volumes of numeric and textual data.
Retrieve, combine, and analyze data from a variety of sources and structures to support data-driven decisions.
Translate complex technical work into tangible business goals for stakeholders.
Research and evaluate emerging technologies and state-of-the-art methods for application in data science.
Identify and improve the status quo by challenging conventional thinking and working with stakeholders.
Develop and mentor talent for your own team and the broader organization.

What we're looking for

Must have a Bachelor's in a quantitative field plus 6 years of data analytics experience, a Master's plus 4 years, or a PhD plus 1 year.
Must have at least 1 year of experience leveraging open source programming languages for large scale data analysis.
Must have at least 1 year of experience working with machine learning.
Must have at least 1 year of experience utilizing relational databases.
Must have experience with clustering, classification, sentiment analysis, time series, and deep learning.
Must have experience building, validating, and backtesting models and interpreting confusion matrices or ROC curves.
Must have experience with Python, Conda, AWS, H2O, Spark, and other cloud computing platforms.
PhD in a STEM field plus 3 years of experience in data analytics (preferred); 4 years of experience in Python, Scala, R, machine learning, or SQL (preferred).

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