Senior Manager, Data Science - US Card (Upmarket Segments)

Capital One • McLean, VA

9d • $209,000 - $286,200

About The Position

Capital One is seeking a Senior Manager, Data Science, for US Card upmarket segments. The role uses data science and machine learning to help deliver products that serve customers and support data-driven decisions at scale. The position partners with data scientists, software engineers, and product managers, and works with large volumes of numeric and textual data.

The role involves building machine learning models across the development lifecycle, from design and training through evaluation, validation, and implementation. It also requires communicating technical work in terms of tangible business goals and contributing as a leader who develops talent and works with stakeholders to improve existing approaches.

Requirements

• Currently hold, or be in the process of obtaining by the scheduled start date, a bachelor's degree in a quantitative field and at least 7 years of experience performing data analytics; or a master's degree in a quantitative field or an MBA with a quantitative concentration and at least 5 years of data analytics experience; or a PhD in a quantitative field and at least 2 years of data analytics experience.
• At least 2 years of experience leveraging open-source programming languages for large-scale data analysis.
• At least 2 years of experience working with machine learning.
• At least 2 years of experience using relational databases.
• Hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• Experience building, validating, and backtesting models, and interpreting confusion matrices or ROC curves.
• Experience with clustering, classification, sentiment analysis, time series, and deep learning.
• Ability to retrieve, combine, and analyze data from a variety of sources and structures.

Nice To Haves

• PhD in a STEM field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics.
• At least 1 year of experience working with AWS.
• At least 1 year of experience managing people.
• At least 5 years of experience using Python, Scala, or R for large-scale data analysis.
• At least 5 years of experience with machine learning.

Responsibilities

• Partner with data scientists, software engineers, and product managers to deliver a product customers love.
• Use technologies such as Python, Conda, AWS, H2O, and Spark to find insights in large volumes of numeric and textual data.
• Build machine learning models through design, training, evaluation, validation, and implementation.
• Translate complex data science work into tangible business goals.
• Work with stakeholders to identify and improve the status quo.
• Contribute to talent development for the team and beyond.

Benefits

• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior