Principal Associate, Data Scientist - Data Scientist - Application Fraud Team - Capital One : Job Details

Principal Associate, Data Scientist - Application Fraud TeamData is at the center of everything we do. As a startup, we disrupted the credit card industry by personalizing credit card offers using statistical modeling and relational databases, pioneering technology since 1988. Today, we are a Fortune 200 company leading in data-driven decision-making.As a Data Scientist at Capital One, you will be part of a team driving innovation at scale, utilizing advanced computing and machine learning technologies across billions of customer records to create solutions that save money, time, and reduce stress for our customers.Team Description:The Application Fraud Data Science team develops machine learning models to protect our customers and the company from fraud. We focus on real-time, application-stage fraud prevention, emphasizing automation, innovation, and enhancing customer experience.Role DescriptionIn this role, you will:

Partner with cross-functional teams including data scientists, software engineers, and product managers to develop customer-centric products.

Utilize a diverse technology stack - Python, Conda, AWS, H2O, Spark, and more - to analyze large volumes of numeric and textual data.

Develop machine learning models through all stages: design, training, evaluation, validation, and deployment.

Translate complex data science work into clear business insights and goals.The Ideal Candidate is:

• Customer-focused and committed to doing the right thing for our clients.
• Innovative, staying current with emerging technologies and applying new methods.
• Creative, capable of defining big problems and asking insightful questions.
• Leadership-oriented, challenging norms and fostering talent development.
• Technically proficient with open-source languages and cloud platforms, experienced in developing data science solutions.
• Statistically skilled, experienced with models, validation, and interpretation of metrics like ROC curves.
• Data-savvy, able to retrieve, combine, and analyze data from various sources and structures.Basic Qualifications:
  • Currently pursuing or possessing a degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science) with relevant experience, or a PhD in a related field.Preferred Qualifications:
    • Master's or PhD in STEM fields with relevant experience.
    • Experience with AWS, Python, Scala, R, machine learning, and SQL.We consider sponsoring qualified applicants for employment authorization. Salary ranges vary by location, with details provided for select cities.This role offers performance-based incentives and a comprehensive benefits package. For more information, visit the Capital One Careers website.We are committed to diversity and inclusion. All qualified applicants will be considered without regard to race, gender, age, religion, or other protected statuses. #J-18808-Ljbffr