Manager, Data Scientist - US Card, Partnerships

Capital One

4.1

(153)

Multiple Locations

Why you should apply for a job to Capital One:

  • 4.1/5 in overall job satisfaction
  • 75% say women are treated fairly and equally to men
  • 86% would recommend this company to other women
  • 77% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • "Working Mother" 100 Best Companies 2020
  • Associates can take 18 weeks for Maternity Leave, and 8 weeks for Paternity Leave, Adoption/Foster Care Leave, and Birth via a Surrogate.
  • The Back-Up Child Care Advantage Program and the Back-Up Family Care Advantage Program provide alternative care options.
  • #R190576

    Position summary

    Team Description:**

    The US Card Data Science team builds industry leading machine learning models to empower core underwriting decisions in the acquisitions and management of new and existing credit card customers. We collaborate closely with a wide range of cross functional partner teams - data engineers, platforms engineers, product managers, credit and business analysts, to deliver the solutions from ideation to implementation. We are a team of model developers, who own the full life cycle of our models - development, deployment, monitoring, governance, and ongoing usage expansion and releases. We are also a team of creative problem solvers, who challenge the status quo on a continuous basis and are devoted to innovation to keep making our models more dynamic, adaptive, robust, and ultimately, smarter.

    Role Description:

    The Data Science Manager in our Partnerships team will be an integral part of the data science group supporting our Partnerships credit card operations. This team is responsible for developing machine learning models that aid in decisions related to credit card approvals or rejections, assignments of lines and APRs, adjustments of credit limits, over-limit authorizations, and marketing throughout the customer lifecycle. Our focus is on creating high-impact models that enhance business performance while also maintaining a healthy work-life balance. We place a high value on the professional development of our associates, encouraging and requiring the adoption of cutting-edge technologies to innovate our model development processes. If you are detail-oriented, passionate about learning and applying new machine learning techniques to drive business improvements, skilled in coding, an effective communicator, and an excellent team player, we invite you to join our team.

    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.

    • 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.

    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 date

    • At least 2 years' experience in open source programming languages for large scale data analysis

    • At least 2 years' experience with machine learning

    • At least 2 years' experience with relational databases

    Preferred Qualifications:

    • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data science

    • At least 1 year of experience working with AWS

    • At least 4 years' experience in Python for large scale data analysis

    • At least 4 years' experience with machine learning

    • At least 4 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.

    New York City (Hybrid On-Site): $201,400 - $229,900 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 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 [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).

    Why you should apply for a job to Capital One:

  • 4.1/5 in overall job satisfaction
  • 75% say women are treated fairly and equally to men
  • 86% would recommend this company to other women
  • 77% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • "Working Mother" 100 Best Companies 2020
  • Associates can take 18 weeks for Maternity Leave, and 8 weeks for Paternity Leave, Adoption/Foster Care Leave, and Birth via a Surrogate.
  • The Back-Up Child Care Advantage Program and the Back-Up Family Care Advantage Program provide alternative care options.