Jobs in the United States

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Added 1 min ago
Senior AI Software Engineer
Palo Alto Networks
CA
Full-Stack & Microservices Engineering: Design, build, test, and deploy scalable services and web applications using Python (FastAPI/Django), React, and modern microservice patterns.
Added 2 mins ago
Senior Manager, Enterprise Systems
LCH Lab. Corp. of America Holdings
Durham, NC
Guide teams in the design and implementation of modern cloud-based data platforms leveraging technologies such as Snowflake, Databricks, AWS, and related services.
Added 2 mins ago
Senior Network Security Engineer
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San Antonio, TX
…Palo Alto Networks and Cisco firewalls, enterprise routing, AWS and Microsoft Azure networking, production change control, and complex incident…
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Senior Manager, Data Analytics Enablement
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Durham, NC
Guide teams in the design and implementation of modern cloud-based data platforms leveraging technologies such as Snowflake, Databricks, AWS, and related services.
Added 7 mins ago
Client Technology - Senior Software Engineering with AI Capabilities
EY
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Advanced knowledge of one or more of: C#/Java or Python
Added 8 mins ago
Senior Data Engineer
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5 years of experience with Python and Spark framework
Added 9 mins ago
SI
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Added 15 mins ago
Oliver Wyman Vector - DevOps Engineer (AWS & Cybersecurity)
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Added 16 mins ago
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Amazon Web Services (AWS), Databricks Administration, Databricks Platform, Extract Transform & Load (ETL) ToolsCertifications:
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Added 17 mins ago
Senior Data Architect
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St. Louis, MO
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Hybrid Full Stack Developer (Python & JavaScript) - TS/SCI with Polygraph
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Engineer, Technology I
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Senior Data Engineer
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Added 17 mins ago
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Added 20 mins ago
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Senior Data Engineer (AWS & Databricks)
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Home Office, LA
…The Senior Data Engineer will leverage their expertise with AWS Cloud and the Databricks platform to help the CMM Data Modernization and Governance Team deliver integrated data governance,…
Added 23 mins ago
Staff Software Development Engineer
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Work at Home, MA · Work At Home, AL · Work At Home, AR · Work At Home, AZ · Work At Home, CA · Work At Home, CO · Work At Home, CT · Work At Home, DC · Work At Home, DE · Work At Home, FL · Work At Home, GA · Work At Home, IA · Work At Home, ID · Work At Home, IL · Work At Home, IN · Work At Home, KS · Work At Home, KY · Work At Home, LA · Work At Home, MD · Work At Home, ME · Work At Home, MI · Work At Home, MN · Work At Home, MO · Work At Home, MS · Work At Home, MT · Work At Home, NC · Work At Home, ND · Work At Home, NE · Work At Home, NH · Work At Home, NJ · Work At Home, NM · Work At Home, NV · Work At Home, NY · Work At Home, OH · Work At Home, OK · Work At Home, OR · Work At Home, PA · Work At Home, RI · Work At Home, SC · Work At Home, SD · Work At Home, TN · Work At Home, TX · Work At Home, UT · Work At Home, VA · Work At Home, VT · Work At Home, WA · Work At Home, WI · Work At Home, WV · Work At Home, WY
Proven experience designing and building backend services, APIs, or distributed systems in a cloud environment (Azure, AWS, GCP).
Added 24 mins ago
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Practice Architect II-AI/ML - REMOTE
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Added 25 mins ago
AI Web Developer T4
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Added 32 mins ago
AI Full Stack Developer
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Added 32 mins ago
DevOps Engineer - $20K Sign On Bonus - 30876
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Capital One

Senior Associate, Data Scientist - US Card DFS Integration

Chicago, IL, United States

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Job details

Posting language: English
Posted: Oct 28, 2026

Original job description

Senior Associate, Data Scientist - US Card DFS Integration

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

The Discover Card Customer Management Data Science team is responsible for ensuring all models used to underwrite the Discover Card portfolio are well-managed and creating the destination state that builds on the best of both worlds from both Discover’s models and Capital One’s models.

In this role, you will:

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity

The Ideal Candidate is:

Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
A 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

Preferred Qualifications:

Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
Experience working with AWS
At least 2 years’ experience in Python, Scala, or R
At least 2 years’ experience with machine learning
At least 2 years’ experience with SQL

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Chicago, IL: $123,300 - $140,700 for Sr Assoc, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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More about this job

Skills

Decision making
Python
AWS
Apache Spark
Machine learning
Interpersonal skills
Deep learning
Statistics
Research
Computer science
Data analysis
Scala
R
SQL
Technical support
Recruitment

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