Capital One

Financial Services

Manager,DataScience

$197–225k McLean, Virginia, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Manager, Data Science at Capital One. Skills: Data Science, Machine Learning, Statistical Modeling, Python, Scala, Spark, AWS. Conducting research into self supervised learning, transformer models, and representation learning. Building customer behavioral models (using transaction, clickstream, and other data) that identify trends, patterns, and relationships related to product usage”

What You'll Achieve.

Unlock big opportunities that help everyday people save money, time and agony in their financial lives; Operationalize models in scalable and resilient production systems that serve 50+ million customers; Guide improvements to customer experiences and business outcomes in domains like marketing, servicing and fraud prevention

Industry & Context.

Financial Services
Problems you'll solve

Unlocking big opportunities; Identifying trends, patterns, and relationships; Guiding improvements to customer experiences and business outcomes

What They're Looking For.

Must Have

Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics, Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics, PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics, At least 1 year of experience leveraging open source programming languages for large scale data analysis, At least 1 year of experience working with machine learning, At least 1 year of experience utilizing relational databases

Nice to Have

PhD in “STEM” field (Science, Technology, Engineering, or Mathematics), Experience working with AWS, At least 4 years’ experience in Python, Scala, or R, At least 4 years’ experience with machine learning, At least 4 years’ experience with SQL

What You'll Do.

Conducting research into self supervised learning

and representation learning

Building customer behavioral models (using transaction

and other data) that identify trends

and relationships related to product usage

Refining integration patterns for encoder and decoder models for downstream use cases to connect Applied Research products and business use cases

Build machine learning models through all phases of development

from design through training

evaluation and validation

Partner with engineering teams to operationalize models in scalable and resilient production systems

Conduct experiments that guide improvements to customer experiences and business outcomes

Write software to collect

visualize and analyze numerical and textual data

How You'll Work.

Team & Collaboration

Partner closely with product and engineering teams to connect emerging technologies with business critical use cases; Partner closely with a variety of business and product teams across Capital One; Partner with engineering teams to operationalize models

Communication Scope

Communicate clearly and effectively to share findings with non-technical audiences

Full Job Description

Manager, Data Science - Emerging ML Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. **Team Description** Emerging ML is the data science and machine learning team inside Capital One’s Applied Research organization. We focus on research and development of new technologies within the domain of Artificial Intelligence with a focus on Embeddings and Foundation Models. We partner closely with our product and engineering teams to connect emerging technologies with business critical use cases across Capital One’s lines of business. As part of Emerging ML, you will work on things like: * Conducting research into self supervised learning, transformer models, and representation learning * Building customer behavioral models (using transaction, clickstream, and other data) that identify trends, patterns, and relationships related to product usage * Refining integration patterns for encoder and decoder models for downstream use cases to connect Applied Research products and business use cases **Role Description** This is an individual contributor position. In Emerging ML, you will work at all phases of the data science lifecycle, including: * Build machine learning models through all phases of development, from design through training, evaluation and validation, and part

Free ATS check

Applying for this Manager, Data Science role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about Capital One?

Real rants from real employees. Read before you apply.

Read Company Rants →