Hybrid Senior Data Scientist, Consumer Identity, Machine Learning

at Capital One

• Job title: Senior Data Scientist, Consumer Identity, Machine Learning
• Job type: Full Time
• Experience level: Senior
• Salary: $133,000 - $165,600 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Python, PyTorch, Scala, Spark, SQL
• Location requirements: Hybrid, McLean, United States

About the role

• Data Scientist utilizing machine learning to enhance customer experiences at Capital One. Involved in developing predictive models and collaborating cross-functionally to improve services.

Responsibilities

• Explore billions of clickstream events to discover the patterns in customer behavior, and use those patterns to model key customer outcomes
• Develop the real-time models that use vast amounts of customer data to anticipate customers’ needs and deliver the right options at the right time
• Develop the models that ensure our most important customer data is accurate, fighting fraud and other bad behavior, while enabling seamless digital experiences across all our products
• Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to improve operationalization in scalable and resilient production systems that serve 50+ million customers.
• Partner closely with a variety of business and product teams across Capital One to conduct the experiments that guide improvements to customer experiences and business outcomes in domains like marketing, servicing and fraud prevention.
• Write software (Python, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark.

Requirements

• A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
• A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration
• Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
• At least 1 year of experience working with AWS
• At least 2 years’ experience in Python, PyTorch, Scala, or R
• At least 2 years’ experience with machine learning
• At least 2 years’ experience with SQL
• At least 2 years' experience working with natural language processing.

Benefits

• Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.