Principal Data Scientist - Modeling and Analysis

Banking and NBFC job

Capital One is at the forefront of data innovation, having transformed the credit card industry with statistical modeling tools since its inception. Today, they continue this legacy as a Fortune 100 company, using advanced computing technology to transform billions of customer transactions into meaningful insights. This role plays a key part in the company’s mission to disrupt the financial sector by enhancing everyday financial wellbeing.

In this role you can expect to have the responsibilities:

• Develop software to manage and analyze extensive datasets.
• Create and implement machine learning models from development to production.
• Design data visualizations for complex idea presentation.
• Conduct experiments to refine business strategies.
• Explore the impact of technological advances on digital banking.

This role comes with the following benefits:

• Choice of hardware (MacBook Pro or HP EliteBook).
• Annual conference attendance opportunity.
• Extensive internal training programs.
• $5000 yearly education budget.
• Flexible hybrid work environment.

This role requires you to have:

• Bachelor’s Degree in a quantitative field.
• 3+ years of experience in programming languages like Python, R, or Scala.
• 3+ years utilizing version control systems such as GitHub.
• Experience with machine learning or predictive models.
• Proficiency with SQL and relational databases.

You would benefit from having:

• Master’s Degree or PhD.
• Proficiency with AWS services.
• Experience in advanced Git workflows.
• Competence in writing unit tests and CICD integration.
• Experience with experimental design.

Capital One champions diversity, inclusion, and belonging, pledging equal opportunity for all candidates and committing to accommodating diverse needs. Personal data may be used for automated decision-making during recruitment. Capital One values privacy and is dedicated to creating an inclusive work environment.