Data Science Manager - Apollo Team at Capital One

Location: 11 West 19th Street, New York, NY, USA

Overview:

Join the forefront of financial innovation at Capital One as a Data Science Manager on our dynamic Apollo Team. Harness the power of data to influence the credit industry, just as we've done since disrupting the market in 1988 with our data-driven approaches. As part of our Fortune 200, tech-forward company, you'll leverage cutting-edge technology and machine learning to drive business strategy and enhance customer experiences.

Team Description:

The Apollo Team at Capital One is your gateway to exploring comprehensive, high-quality business data in the U.S. Integrating both internal and external data sources, Apollo aims to meet diverse business needs across the organization, delivering pivotal data solutions and technological advancements.

Role Responsibilities:

As a Data Scientist within the Apollo team, you will:

• Develop both batch and real-time machine learning pipelines.
• Analyze vast datasets to identify valuable business insights.
• Collaborate with leading data scientists, engineers, and product managers.
• Contribute to projects impacting the company's bottom line directly.
• Communicate complex data science concepts to non-experts.

The Ideal Candidate:

Our ideal candidate places customers first, is deeply innovative, and has a robust analytical skill set:

• Proven ability to build and validate statistical models.
• Strong practical knowledge of Python, Conda, AWS, and other technologies.
• Passion for big data and experience in data retrieval, assembly, and analysis.

Qualifications:

Basic qualifications include a Bachelor’s Degree with 6+ years in data analytics, or a Master’s Degree with 4+ years, or a PhD with 1+ year in data analytics. Applicants should also have a minimum of two years of experience with machine learning, open-source programming, and relational databases.

Preferred Qualifications:

Preference will be given to candidates with a PhD in a STEM field, extensive experience in Python, Scala, or R, and familiarity with AWS and SQL.

Location-Specific Salary Range:

Salaries for this role depend on your location:

• New York City (Hybrid On-Site): $201,400 - $229,900
• San Francisco, California (Hybrid On-Site): $213,400 - $243,500

Benefits & Incentives:

Capital One offers performance-based incentives, comprehensive health benefits, and a supportive work environment designed to enhance your professional growth and personal well-being.

Capital One is an Equal Opportunity Employer

All qualified applicants will receive consideration without regard to sex, race, protected veteran status, or disability.

For more information, or to request accommodation, please contact our recruitment team.

Curious about joining? Apply today to contribute to our innovative projects and help us create better financial tools for the future!

Contact Information:

• Email: [email protected]
• Recruiting Accommodations: [email protected]