See Similar Listings
Job   USA   NY   New York Area   Scientist   Capital One -

Manager, Data Scientist - Credit Infrastructure Imperative - Team Matrix | Scientist in Science &a1

This listing was posted on Professional Diversity Network.

Manager, Data Scientist - Credit Infrastructure Imperative - Team Matrix

Location:
New York, NY
Description:

77 West Wacker Dr (35012), United States of America, Chicago, IllinoisManager, Data Scientist - Credit Infrastructure Imperative - Team Matrix Manager , Data Scientist, Team Matrix 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 DescriptionTeam Matrix owns data, modeling, and credit infrastructure for the Business Cards and Payments (BCP) organization. We are hiring a Data Science on the valuations tools and innovation team. This team drives efficiency for our model development teams through improvements to our shared code base, and researches cutting edge machine learning techniques to improve the usefulness of our models.Role DescriptionIn this role, you will:Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers loveLeverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual dataBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationFlex your interpersonal skills to translate the complexity of your work into tangible business goalsThe 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.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.Basic Qualifications:Currently has, or is in the process of obtaining a Bachelor's Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start dateAt least 2 years' experience in open source programming languages for large scale data analysisAt least 2 years' experience with machine learningAt least 2 years' experience with relational databasesPreferred Qualifications:PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analyticsAt least 1 year of experience working with AWSAt least 4 years' experience in Python, Scala, or R for large scale data analysisAt least 4 years' experience with machine learningAt least 4 years' experience with SQLCapital 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.New York City (Hybrid On-Site): $201,400 - $229,900 for 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 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-XXXX or via email at XXXX@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 XXXX@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).PDN-9b225745-d567-4875-b8f9-221b18c7ee67
Company:
Capital One
Industry:
Other
Posted:
Visit Our Partner Website
This listing was posted on another website. Click here to open: Go to Professional Diversity Network
Important Safety Tips
  • Always meet the employer in person.
  • Avoid sharing sensitive personal and financial information.
  • Avoid employment offers that require a deposit or investment.

To learn more, visit the Safety Center or click here to report this listing.

More About this Listing: Manager, Data Scientist - Credit Infrastructure Imperative - Team Matrix
Manager, Data Scientist - Credit Infrastructure Imperative - Team Matrix is a Science & Pharmaceutical Scientist Job at Capital One located in New York NY. Find other listings like Manager, Data Scientist - Credit Infrastructure Imperative - Team Matrix by searching Oodle for Science & Pharmaceutical Scientist Jobs.