Director, Data Science - Consumer and Developer Experience (Remote-Eligible)

Capital One • McLean, VA

1d • Remote

About The Position

Capital One is seeking a data science leader to support strategic priorities for Consumer and Developer Experience (CDX), within CDX’s product strategy team. CDX spans customer digital engagement, including the Capital One app; marketing, analytics, and personalization platforms; supplier and vendor management products; and products supporting the company’s risk management responsibilities. The product strategy team combines strategy, product, and data science to address complex strategic and analytical questions, develop prototypes, and partner with product and engineering teams to create scaled digital experiences.

The role works with software engineers, business analysts, and product managers to build customer-focused products that deliver business results. It uses technologies such as Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data, and develops machine learning models through design, training, evaluation, validation, and implementation. The position also requires communicating complex work in terms of tangible business goals. Capital One is open to hiring a remote employee for this opportunity.

Requirements

• A bachelor's degree in a quantitative field plus 9 years of experience performing data analytics; or a master's degree in a quantitative field, or an MBA with a quantitative concentration, plus 7 years of data analytics experience; or a PhD in a quantitative field plus 4 years of data analytics experience. The required degree must be obtained on or before the scheduled start date.
• At least 4 years of experience using open-source programming languages for large-scale data analysis.
• At least 4 years of experience working with machine learning.
• At least 4 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 varied sources and structures.

Nice To Haves

• PhD in a STEM field plus 5 years of experience in data analytics.
• At least 1 year of experience working with AWS.
• At least 3 years 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 software engineers, business analysts, and product managers to deliver products customers love that move the needle for the business.
• 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.
• Address strategic and analytical questions for CDX and help develop prototypes in partnership with product and engineering teams.

Benefits

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

What This Job Offers

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