Manager, Data Science - Fraud, Deep Learning

Location: 11 West 19th Street (22008), United States of America, New York, New York

About the Role

Join Capital One, a Fortune 200 company renowned for its pioneering strides in the credit card industry since 1988. We are a leader in data-driven decision-making, leveraging statistical modeling and cutting-edge technologies. We are seeking a Manager, Data Science - Fraud, Deep Learning to join our dynamic Fraud Data Science team. Help us protect our customers and Capital One against fraudsters by developing innovative machine learning models to enhance the customer experience and prevent fraud across all stages of the customer journey.

Key Responsibilities

• Utilize deep learning and sequence modeling techniques to build fraud models.
• Collaborate with a cross-functional team of data scientists, software engineers, and product managers to deliver customer-centric products.
• Leverage a technology stack including Python, Conda, AWS, H2O, Spark, Pytorch, Tensorflow, and more to uncover insights from vast numeric and textual data sets.
• Develop machine learning models through design, training, evaluation, validation, and implementation phases.
• Translate complex data science concepts into actionable business strategies using strong interpersonal skills.

Ideal Candidate

• Innovative: Continuously researching and applying emerging technologies.
• Technical: Proficient in open-source languages and passionate about software development.
• Statistically-minded: Experienced in model building, validation, and interpretation.
• Data Guru: Skilled in analyzing and integrating "big data" from diverse sources.

Basic Qualifications

• Bachelor’s Degree + 6 years of experience in data analytics, or
• Master’s Degree + 4 years of experience in data analytics, or
• PhD + 1 year of experience in data analytics, with the required degree obtained by the scheduled start date.
• Minimum 2 years of experience with open-source programming languages for large scale data analysis.
• Minimum 2 years of experience with machine learning.
• Minimum 2 years of experience with relational databases.

Preferred Qualifications

• At least 1 year of experience working with AWS.
• At least 2 years of experience in building advanced Deep Learning architectures (e.g., RNN’s, CNN’s, Transformers).
• At least 2 years of experience with Pytorch, Tensorflow or other Deep Learning frameworks.
• At least 4 years of experience with Python, Scala, or R for large scale data analysis.
• At least 4 years of experience with machine learning.
• At least 4 years of experience with SQL.

Compensation and Benefits

Salary Range: $201,400 - $229,900 for New York City (Hybrid On-Site). Performance based incentive compensation, including cash bonuses and long-term incentives, may be available. Benefits include health, financial, and other perks supporting overall well-being. Learn more at Capital One Careers.

Note: Compensation may vary for candidates in different locations, as outlined in offer letters.

Application Process

This role will accept applications for a minimum of 5 business days. No agencies, please.

Equal Opportunity Employer

Capital One is dedicated to diversity and inclusion in the workplace. Qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, citizenship, immigration status, protected veteran status, or any other characteristic protected by law. Capital One promotes a drug-free workplace and considers applicants with criminal histories consistent with legal requirements.

Accommodations and Support

If you require accommodations for the application process, please contact Capital One Recruiting at 1-800-304-9102 or via email at . For technical support