Senior Data Scientist

2 days ago


Richmond, VA, United States Capital One Full time

Join us as a Senior Data Scientist focused on Risk Management Products At Capital One, data is at the heart of our innovative strategies. Since our inception, we've been revolutionizing the credit card industry through personalized offers powered by data. This passion has propelled us to become a Fortune 200 company, leading in data-driven decision-making.

As a Data Scientist with Capital One, you'll be integral in shaping the next wave of industry innovation on a massive scale. You will harness cutting-edge machine learning technologies, analyzing billions of customer records to create solutions that simplify financial lives for everyday people.

Team Overview

In the Risk Management Product Data Science team, you will leverage machine learning to enhance operational efficiencies and risk management practices within our organization. Your contributions will include:

  • Driving Compliance Innovation

  • Leading initiatives in Compliance & Ethics, including General Compliance and Corporate Integrity

  • Advancing Natural Language Processing projects

  • Exploring Generative AI initiatives

This role is essential as we shift from traditional data collection and reporting to real-time business analysis, utilizing data science and Generative AI.

Your Role

In this position, you will:

  • Collaborate with a diverse team of data scientists, software engineers, and product managers to create products that resonate with our customers

  • Utilize a wide array of technologies, including Python, Conda, AWS, H2O, and Spark, to uncover insights from extensive numeric and textual datasets

  • Develop machine learning models throughout their lifecycle: from design and training to evaluation and implementation

  • Use your communication skills to translate complex data science concepts into clear and actionable business objectives

The Ideal Candidate

We are looking for someone who is:

  • Innovative: Always exploring new technologies and keeping up with state-of-the-art methods and applications

  • Technical: Proficient in open-source languages and passionate about data science. Experienced with data science solutions on cloud platforms

  • Statistically-minded: Experienced in model building, validation, and backtesting with a strong understanding of various statistical metrics

  • A data guru: Knowledgeable in handling and analyzing big data from diverse sources

Basic Qualifications

  • Currently pursuing or have obtained:

    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related field) with 5 years of data analytics experience

    • A Master's Degree in a quantitative field or an MBA with a quantitative focus with 3 years of data analytics experience

    • A PhD in a quantitative discipline

Preferred Qualifications

  • Master's Degree in a STEM field or a PhD in a STEM field plus relevant experience

  • Experience working with AWS (1 year)

  • Proficiency in Python, Scala, or R (3 years)

  • Experience with machine learning (3 years)

  • Proficiency in SQL (3 years)

  • Experience with generative AI (2 years)

  • Experience with natural language processing (2 years)

Capital One is open to sponsoring qualified applicants for employment authorization for this role.

Salary ranges for this position include:

  • McLean, VA: $161,800 - $184,600

  • New York, NY: $176,500 - $201,400

  • Plano, TX: $147,100 - $167,900

  • Richmond, VA: $147,100 - $167,900

Annual salaries will vary based on location and will be detailed in the offer letter. This role is also eligible for performance-based bonuses and long-term incentives.

Join Capital One and be a part of a comprehensive suite of benefits designed to support your well-being. Learn more on the Capital One Careers website.

We look forward to reviewing your application



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