819 matching jobs for “Full-stack Engineer 4”

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Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.

Capital One Financial

Manager, Data Scientist - Credit Review

McLean, Virginia, United States +5 locations

… Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, …

Added Oct 27, 2026

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Capital One Financial

Manager, Data Scientist - Model Risk Office

McLean, Virginia, United States +2 locations

Added Oct 27, 2026

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Capital One Financial

Director, Data Scientist - US Card

McLean, Virginia, United States +2 locations

… Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics At least 4 years of experience leveraging open source …

Added Oct 27, 2026

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Capital One Financial

Senior Manager, Data Scientist - Card Fraud Prevention

McLean, Virginia, United States +1 location

… Preferred Qualifications: PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics At least 1 year of experience working with AWS At least 1 year of …

Added Oct 27, 2026

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Nvidia

Power Integrity Architect

Santa Clara, California, United States

… growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! #LI-Hybrid Your base salary will be …

Added Oct 27, 2026

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Cisco Systems

Account Executive - Splunk (Mid-Atlantic Region)

McLean, Virginia, United States +13 locations

Pay posted by employer$269,300–$360,800

… for non-exempt employees 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees** receive 16 days of paid …

Added Oct 31, 2026

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Booz Allen Hamilton

Observability Platform Architect

McLean, Virginia, United States

Pay posted by employer$86,800–$198,000

… or security boundary, and managing the drift and duplication that creates ITIL 5 Foundation or ITIL 4 Practitioner: Monitoring and Event Management Certification Compensation At Booz Allen, we celebrate your …

Added Oct 27, 2026

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Stanley Black & Decker

Senior CAD Designer

Towson, Maryland, United States

Full time
Regular

Pay posted by employer$63,700–$102,600

… & metal stamping preferred Good organization and communication skills. Ability to work with more than one engineer and handle multiple assignments concurrently. The Job As a Senior CAD Designer, you’ll be part of our …

Added Oct 27, 2026

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Capital One Financial

Manager, Data Science - US Card - Marketing

McLean, Virginia, United States +2 locations

Added Oct 27, 2026

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Capital One Financial

Director, Data Science

Toronto, Ontario, Canada

Added Oct 27, 2026

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Capital One Financial

Manager, Data Science

McLean, Virginia, United States +2 locations

Added Oct 27, 2026

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Capital One Financial

Director, Data Science

McLean, Virginia, United States +4 locations

Added Oct 27, 2026

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Capital One Financial

Director, Data Science

McLean, Virginia, United States +4 locations

Added Oct 27, 2026

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GE Aerospace

Advanced Lead Scientist – MBSE & Formal Methods – GE Aerospace Research

Niskayuna

Full time
Regular

Pay posted by employer$112,000–$186,000 USD

… Research, we invent the future of flight, lift people up, and bring them home safely. As an Advanced Lead Engineer – High Assurance Systems in the Knowledge Discovery & High Assurance Systems Lab, you will design and …

Added Oct 27, 2026

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Johnson & Johnson

Principal Engr Platform/Cloud Engineering

Spring House, Pennsylvania, United States of America +2 locations

Pay posted by employer$102,000–$175,950

… Innovative Medicine Research & Development, a Johnson & Johnson company, is recruiting for Principal Engineer, Platform & Cloud Engineering in our R&D Advanced Computing group focused on AI Native Drug Discovery. …

Added Oct 18, 2026

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Capital One Financial

Sr. Data Analysis Manager

McLean, Virginia, United States +2 locations

… apps, intelligent automation pipelines, and experimentation frameworks that drive operational health across 4,000+ engineers and leaders. As owners of the flagship IFX OneDashboard (36 custom products, 100K+ annual …

Added Nov 4, 2026

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Capital One Financial

Senior Product Manager, AI Enablement - Analytics: Capital One Shopping (Remote-Eligible)

McLean, Virginia, United States +2 locations

… indicators to understand the evolution and success of the project Basic Qualifications: At least 4 years of experience in Product Management , Solutions or Deployment Engineering, Technical Consulting, or …

Added Oct 27, 2026

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Capital One Financial

Manager, Data Scientist, Travel Intelligence, Hotels

McLean, Virginia, United States +1 location

Added Oct 27, 2026

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Capital One Financial

Senior Manager, Data Scientist - US Card

McLean, Virginia, United States +1 location

Added Oct 27, 2026

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Capital One Financial

Senior Manager, Data Science - Business Card and Payment

McLean, Virginia, United States

… Qualifications: PhD in “STEM” field (Science, Technology, Engineering, Economics or Mathematics) plus 4 years of experience in data analytics At least 1 year of experience working with AWS At least 1 year of …

Added Oct 27, 2026

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Capital One Financial

Manager, Data Scientist - Credit Review

McLean, Virginia, United States +5 more

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Basic Qualifications · employer excerpt

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,…
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

About this opportunity

Original employer description

Manager, Data Scientist - Credit Review

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

In Capital One’s Credit Review Models, Data and Innovative solutions team, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand that we can’t prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners.

We partner with best-in-class data scientists, analysts, credit risk management experts, and engineers to innovate solutions that directly impact the company’s bottom line in a meaningful way. We do it all in a collaborative environment that values individual insight, encourages each associate to take on new responsibilities, promotes continuous learning, and rewards innovation.

Role Description

In this role, you will:

Leverage a broad stack of technologies, such as, Python, Conda, AWS, H2O, Spark, and more, to reveal the insights hidden within huge volumes of numeric and textual data
Build statistical and machine learning models to challenge the models in production
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Partner with a cross-functional team of data scientists, credit risk experts, and product managers to deliver a product customers love

The Ideal Candidate is:

Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
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.
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
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.

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 6 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 plus 4 years of experience performing data analytics
- A 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

Preferred Qualifications:

PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
At least 4 years’ experience in Python, Scala, or R for large scale data analysis
At least 4 years’ experience with machine learning
At least 4 years’ experience with predictive modeling

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.

Charlotte, NC: $179,400 - $204,700 for Mgr, Data Science

McLean, VA: $197,300 - $225,100 for Mgr, Data Science

New York, NY: $215,200 - $245,600 for Mgr, Data Science

Plano, TX: $179,400 - $204,700 for Mgr, Data Science

Richmond, VA: $179,400 - $204,700 for Mgr, Data Science

Riverwoods, IL: $179,400 - $204,700 for Mgr, 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. 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 [email protected]. 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 [email protected]

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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