Join Our Trailblazing Team as a Manager Data Scientist at Capital One!

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

Role Overview: Manager Data Scientist - The Card Loss Forecasting and Allowance Team

At Capital One, we are at the forefront of redefining the way the world views financial services. Our commitment to excellence is apparent in how we use data analytics and technology to tailor products and services, ensuring client satisfaction and streamlined operations. Our Data Science team is essential in pioneering innovations that transform the banking experience.

As a Manager Data Scientist within the Card Loss Forecasting and Allowance team, you will spearhead projects that integrate complex machine learning models to predict and manage credit card portfolio losses.

What You'll Do

• Collaborate with cross-functional teams including data scientists, software engineers, and product managers to develop high-impact financial products.
• Utilize a wide range of technologies like Python, AWS, and Spark to derive actionable insights from large and complex datasets.
• Lead the modernization of loss forecasting processes by enhancing the platforms that support financial planning and stress testing.
• Navigate through the entire model development life cycle – from ideation to deployment – ensuring the models meet high standards of effectiveness and usability.

Who You Are

A forward-thinker who places clients first, values innovation, and possesses a creative mindset. Your strong leadership skills enable you to challenge the status quo and lead complex projects. Proficiency in open-source programming, cloud platforms, model building, and data analysis are part of your technical toolkit. You are not just looking for a job, but a platform to make a significant impact.

Basic Qualifications

• Possession of a Bachelor's degree with 6+ years of experience in data analytics, or a Master's degree with 4+ years of experience, or a PhD with 1+ year of experience in data analytics.
• At least 2 years of hands-on experience with open-source programming for large scale data analysis and machine learning.
• Minimum of 2 years working with relational databases.

Preferred Qualifications

• PhD in STEM fields with 3+ years of data analytics experience.
• Advanced experience with Python, Scala, or R and SQL for large-scale data analysis.
• Profound knowledge and hands-on experience in machine learning techniques.
• Experience with AWS is highly advantageous.

Capital One values diversity and is committed to ensuring a workplace where inclusion is not only encouraged but ensured. We offer competitive salaries, comprehensive benefits, and are committed to providing progressive career paths in an innovative environment.

Qualified candidates who are interested in disrupting the industry with us, apply now. We are eager to see how you can make an impact!

Capital One is an equal opportunity employer. We do not discriminate based on race, color, religion, national origin, sex, sexual orientation, age, disability, or any other factor prohibited by law.

For more details on our comprehensive benefits, career paths, and how to apply, visit the Capital One Careers website.