This job is expired.
Capital One
Senior Data Scientist, Technology Operations
McLean, VA
Jun 12, 2024
Full-time
Full Job Description
Center 3 (19075), United States of America, McLean, Virginia

Senior Data Scientist, Technology Operations

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

The Tech Data Excellence team builds machine learning models that enable us to vastly improve the way in which we respond to technology failures and manage technology risks across the enterprise. In this role you will leverage techniques such as regression, anomaly detection, and causal inference to prevent failures before they happen and protect the security of our internal network.

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, 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, implementation, and ongoing monitoring

  • Flex your interpersonal skills to translate the complexity of your work into tangible business outcomes for stakeholders

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. Your 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 phase 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 a Bachelor's Degree plus 3 years of experience in data analytics, or currently has, or is in the process of obtaining Master's Degree 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 1 year of experience in open source programming languages for large scale data analysis

  • At least 1 year of experience with machine learning

  • At least 1 year of experience with relational databases

Preferred Qualifications:

  • Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics), or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics)

  • Experience working with AWS

  • At least 2 years' experience in Python, Scala, or R

  • At least 2 years' experience with machine learning

  • At least 2 years' experience with SQL

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

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 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).

PDN-9c440536-bf96-4313-90bb-5db32fcdb1ee
Job Information
Job Category:
Information Technology
Spotlight Employer
Related jobs
Mechanic Construction Equip.: Earthmovers Inc. is looking for a skilled construction mechanic to work out of our Danbury CT shop. Responsible for the following: - Troubleshooting problems - Engine and...
Dec 23, 2024
Danbury, CT
Business
Confidential
Massumi + Consoli LLP seeks Sr. Associate, M&A for Los Angeles, CA. JD or equiv deg & lic. to practice in CA. 6 yrs exp in M&A. Must have exp w/: pvt equity clients; drafting & negotiating cmplx trnsc...
Dec 23, 2024
Glendale, CA
Transportation Coordinator
Garfield County School District No. 16
Transportation Coordinator Garfield County School District No. 16 We are hiring! Transportation Coordinator, School Bus Drivers, and much more! See all openings at https://www.garfield16.org - click e...
Dec 23, 2024
Parachute, CO
©2024 Kappa Delta Chi Job Board.
Powered by TalentAlly.
Apply for this job
Senior Data Scientist, Technology Operations
Capital One
McLean, VA
Jun 12, 2024
Full-time
Your Information
First Name *
Last Name *
Email Address *
Zip Code *
Password *
Confirm Password *
Create your Profile from your Resume
By clicking the Apply button, you agree to the terms of use and privacy policy.
Continue to Apply

Capital One would like you to finish the application on their website.

Ace your interview with
AI-powered interview practice

Get comfortable talking to hiring managers, receive personalized feedback on areas for improvement, sharpen your ability to answer the most common questions, and build confidence in formulating strong responses on the spot. Click the button below to begin your three free virtual interviews!