As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models through all phases of development, from design through training ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models through all phases of development, from design through training ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models through all phases of development, from design through training ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models through all phases of development, from design through training ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models through all phases of development, from design through training ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models through all phases of development, from design through training ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models through all phases of development, from design through training ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models through all phases of development, from design through training ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models through all phases of development, from design through training ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models through all phases of development, from design through training ...
Research Scientist
$225K - $400K/yr
As a Founding Machine Learning Researcher, you'll focus on advancing model capabilities for human ... Startup-R eady - You thrive in fast-paced environments with high ownership and ambiguity
Research Scientist
$225K - $400K/yr
As a Founding Machine Learning Researcher, you'll focus on advancing model capabilities for human ... Startup-R eady - You thrive in fast-paced environments with high ownership and ambiguity
APTPUO-Winter 2027-SYS5180
$239.47/hr
Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ... Industry experience applying mathematical concepts in AI and machine learning contexts
APTPUO-Winter 2027-SYS5180
$239.47/hr
Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ... Industry experience applying mathematical concepts in AI and machine learning contexts
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models to challenge "champion models" that are deployed in production today ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models to challenge "champion models" that are deployed in production today ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models to challenge "champion models" that are deployed in production today ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models to challenge "champion models" that are deployed in production today ...
APTPUO-Fall 2026-DTI6302 F
$239.47/hr
Machine Learning Operations Course Code: DTI6302 Section: B Course Description: Posting limited to: Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ...
APTPUO-Fall 2026-DTI6302 F
$239.47/hr
Machine Learning Operations Course Code: DTI6302 Section: B Course Description: Posting limited to: Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models through all phases of development, from design through training ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models through all phases of development, from design through training ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Lead teams of data scientists who build machine learning models to challenge current champion ...
New
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Lead teams of data scientists who build machine learning models to challenge current champion ...
New
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models through all phases of development, from design through training ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models through all phases of development, from design through training ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Machine learning models, (e.g., Gradient Boosting, Random Forecast) * Remain on the leading edge of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Machine learning models, (e.g., Gradient Boosting, Random Forecast) * Remain on the leading edge of ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models through all phases of development, from design through training ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Build machine learning models through all phases of development, from design through training ...
Embedded Software Engineer
Mundelein, IL · On-site
$134K - $176K/yr
Through custom underwater cameras, computer vision, and machine learning we are able to quantify ... Experience at a small & quickly growing startup Benefits * Competitive salary and equity
Quick apply
Embedded Software Engineer
Mundelein, IL · On-site
$134K - $176K/yr
Through custom underwater cameras, computer vision, and machine learning we are able to quantify ... Experience at a small & quickly growing startup Benefits * Competitive salary and equity
DoD SkillBridge Internship Eligible Applicants - Active Duty US Military Only withCommand approval to participate TEMPORARY ROLE: Not to exceed 180 days This position must meet Export Control ...
DoD SkillBridge Internship Eligible Applicants - Active Duty US Military Only withCommand approval to participate TEMPORARY ROLE: Not to exceed 180 days This position must meet Export Control ...
Our client is a VC-backed startup developing in vivo genetic medicines to engineer the ... bioinformatics, machine learning and scientific computing. This role manages a team of ...
New
Our client is a VC-backed startup developing in vivo genetic medicines to engineer the ... bioinformatics, machine learning and scientific computing. This role manages a team of ...
New
APTPUO- Winter 2027 -DTI5125
$239.47/hr
Hands-on experience with an integrated set of current data analytics, data mining, and machine learning tools. Posting limited to: Professeur a temps-partiel regulier / Regular Part-Time Professor ...
APTPUO- Winter 2027 -DTI5125
$239.47/hr
Hands-on experience with an integrated set of current data analytics, data mining, and machine learning tools. Posting limited to: Professeur a temps-partiel regulier / Regular Part-Time Professor ...
Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/06 ... Strong expertise in Data Science, including statistical modelling, machine learning, data ...
Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/06 ... Strong expertise in Data Science, including statistical modelling, machine learning, data ...
Temporary Machine Learning Startup information
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Full-time
Posted 17 days ago
Capital One rating
7.7
Based on 134 frontline employees who took The Breakroom Quiz
72nd of 141 rated banks
Job description
Senior Manager, Data Science - US Card (Upmarket Segments)
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.
Role Description
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 of your work into tangible business goals
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.
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.
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.
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.
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 7 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 5 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 2 years of experience performing data analytics
At least 2 years of experience leveraging open source programming languages for large scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases
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 experience managing people
At least 5 years' experience in Python, Scala, or R for large scale data analysis
At least 5 years' experience with machine learning
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: $209,000 - $238,500 for Sr Mgr, Data ScienceCandidates 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 theCapital 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 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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