drjobs Principal Associate Data Scientist - US Card Fraud

Principal Associate Data Scientist - US Card Fraud

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Job Location drjobs

Mclean, VA - USA

Monthly Salary drjobs

$ 173000 - 197400

Vacancy

1 Vacancy

Job Description

Principal Associate Data Scientist US Card (Fraud)

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! Fastforward 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 datadriven decisionmaking.

As a Data Scientist at Capital One youll be part of a team thats 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 time and agony in their financial lives.

Team Description

The Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters. We prevent fraud at many steps of a customer journey from the application to spending and payments using realtime models. We care very deeply about doing things the right way automating and innovating to improve the customer experience and prevent fraud.

Role Description

In this role you will:

  • Partner with a crossfunctional 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 its about making the right decision for our customers.

  • Innovative. You continually research and evaluate emerging technologies. You stay current on published stateoftheart 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. Youre not afraid to share a new idea.

  • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. Youre passionate about talent development for your own team and beyond.

  • Technical. Youre comfortable with opensource languages and are passionate about developing further. You have handson experience developing data science solutions using opensource tools and cloud computing platforms.

  • Statisticallyminded. Youve 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 doesnt 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 Bachelors Degree in a quantitative field (Statistics Economics Operations Research Analytics Mathematics Computer Science or a related quantitative field) plus 5 years of experience performing data analytics

    • A Masters 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 3 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)

Preferred Qualifications:

  • Masters Degree in STEM field (Science Technology Engineering or Mathematics) plus 3 years of experience in data analytics or PhD in STEM field (Science Technology Engineering or Mathematics)

  • At least 1 year of experience working with AWS

  • At least 3 years experience in Python Scala or R

  • At least 3 years experience with machine learning

  • At least 3 years experience with SQL

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


The minimum and maximum fulltime 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 parttime roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean VA: $158600 $181000 for Princ Associate Data Science


New York NY: $173000 $197400 for Princ Associate Data Science


Richmond VA: $144200 $164600 for Princ Associate 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 candidates 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 wellbeing. Learn more at theCapital One Careers website. Eligibility varies based on full or parttime status exempt or nonexempt 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 drugfree 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 23A of the New York Correction Law; San Francisco California Police Code Article 49 Sections; New York Citys Fair Chance Act; Philadelphias 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 ator via email at . 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 Ones recruiting process please send an email to

Capital One does not provide endorse nor guarantee and is not liable for thirdparty 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).


Required Experience:

Staff IC

Employment Type

Full-Time

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