Manager, Data Scientist - Velocity Black (Remote-Eligible)

Capital One • McLean, VA

87d • $175,800 - $200,700

About The Position

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. It's concierge, reimagined for the digital age. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. Velocity Black is on a mission to leverage technology to improve our operational efficacy and provide an extraordinary member experience. The Velocity Black AI and ML team is building the models that help provide personalized recommendations for our members.

Requirements

• Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics, or a Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 4 years of experience performing data analytics, or a PhD in a quantitative field plus 1 year of experience performing data analytics.
• At least 1 year of experience leveraging open source programming languages for large scale data analysis.
• At least 1 year of experience working with machine learning.
• At least 1 year of experience utilizing relational databases.

Nice To Haves

• PhD in 'STEM' field (Science, Technology, Engineering, or Mathematics).
• Strong proficiency in Python and SQL for large scale data analysis.
• At least 1 year of experience preparing and transforming large, messy, or sparse datasets for modeling.
• At least 1 year of experience designing, training, and deploying large-scale models in production.
• At least 1 year of experience in model lifecycle management and ML ops practices.
• At least 1 year of experience collaborating cross-functionally with product and engineering to translate business problems into ML solutions.
• Familiarity with sophisticated ML approaches to personalization models or recommendation systems.
• Demonstrated ability to influence stakeholders and lead technical strategy.

Responsibilities

• Lead the design, development, and maintenance of personalization and recommendation models.
• Apply modern AI/ML methods (e.g. collaborative filtering, ensemble retrievers, embeddings, neural networks, LLM as a judge, etc.) to optimize and elevate member experiences.
• Collaborate with product/business and engineering to integrate models into our platform, including model registration and ongoing measurement.
• Develop evaluation frameworks to monitor performance, bias, and accuracy of recommendations.
• Champion data-driven decision making across the team.

Benefits

• Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
• Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Bachelor's degree