Manager, Data Scientist, Customer Protection Data Science

Company: Capital One
Location: Mc Lean
Posted on: January 26, 2023

Job Description:

Center 2 (19050), United States of America, McLean, Virginia

Manager, Data Scientist, Customer Protection Data Science

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 Customer Protection Data Science team builds machine learning models that algorithmically identify fraudulent activity in customer bank accounts covering a variety of transaction types including deposits, withdrawals, and general money movement (e.g. wire transfers). Using methods of statistics, machine learning, and software engineering, while leveraging cutting edge cloud based compute infrastructure and tools such as Python, Dask, Docker, and kubernetes, we continuously develop real-time intelligent solutions that can quickly adapt to a constantly evolving fraud landscape. This work is core to delivering Capital One's mission to "Change Banking for Good" and our continuous development of robust, data driven, algorithmic fraud defenses allows us to continue to offer easily accessible, secure, banking services for all of our customers.

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, Docker, AWS, H2O, Dask, 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:
  • 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.
  • 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:
    • Bachelor's Degree plus 6 years of experience in data analytics, or Master's Degree plus 4 years of experience in data analytics, or PhD plus 1 year of experience in data analytics
    • 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 analytics
      • At least 1 year of experience working with AWS
      • At least 4 years' experience in Python, Dask, or Spark 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.
        
        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.
        
        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, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, 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 ; 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- or 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 One's recruiting process, please send an email to
        
        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).
        
        

Keywords: Capital One, Washington DC , Manager, Data Scientist, Customer Protection Data Science, Executive , Mc Lean, DC