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.
As a Data Scientist at Capital One's Auto Finance business, you’ll be part of a high performing modeling and analytics team that’s leading the next wave of disruption at a whole new scale. Our team has a relentless focus on the craft of modeling and innovation, 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. You’ll drive the heart of business by working on an array of impactful and exciting applications like customer lifetime valuation, product recommendation, fraud detection, and productivity improvement via Generative AI.
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, GitHub, Sagemaker, SQL, AWS 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
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 in data analytic
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 in 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 in data analytics
At least 2 years of experience in open source programming languages for large scale data analysis
At least 2 years of experience with machine learning
At least 2 years of experience with 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.
Plano, TX: $204,900 - $233,800 for Sr 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Become a vital part of Handoff as a Senior Machine Learning Engineer, using your expertise to advance AI solutions in the construction sector.
Join Microsoft AI as a Senior Data Scientist, where you'll pioneer evaluation techniques and enhancements for our groundbreaking Microsoft Copilot product.
Join MRIoA as an AI Developer and contribute to the development and deployment of cutting-edge AI solutions across our enterprise.
Lead the Data Science team at PMG, driving innovations in AI and predictive analytics to enhance marketing strategies for top brands globally.
We are in search of an experienced Machine Learning Tech Lead to spearhead AI transformations across various industries at Provectus.
Join Clarity Partners as an AI Systems Analyst, where you will leverage your expertise to drive AI initiatives and collaborate with cross-functional teams in a hybrid work environment.
Lead the charge in transforming advertising precision as MNTN's Principal Data Scientist with a focus on advanced algorithms and impactful data methodologies.
Join Pinterest as a Machine Learning Intern, where you’ll tackle challenging machine learning projects that connect the aspirations of Pinners and advertising partners.
Join TetraScience as a Senior Applied AI/ML Engineer and contribute to transformative AI solutions in the life sciences industry.
Lead innovative data science initiatives at Collective Health to redefine healthcare outcomes and operational efficiency.
Join ServiceNow, a pioneer in AI-enhanced technology, as a Senior Data Informatics Analyst focused on improving data quality and visualization.
Join Medtronic as an AI/Data Science Engineer I and contribute to transformative solutions in cardiac care technology.
Embark on your tech career with Further as a Data and Machine Learning Engineer, making real impacts in the world of data and AI.
Subscribe to Rise newsletter