Senior Associate, Data Scientist - Recommendation & Personalization Systems

Senior Associate Data Scientist role focused on recommendation and personalization systems, building high-scale machine learning models for customer experiences across web and mobile.

Responsibilities

• Collaborate with cross-functional partners including data scientists, software engineers, and product managers to deliver customer-focused products
• Use a broad technology stack to extract insights from large-scale numeric and textual data, including Python, Conda, AWS, H2O, and Spark
• Develop machine learning models across the full lifecycle: design, training, evaluation, validation, and implementation
• Translate model and technical complexity into concrete business goals using strong interpersonal communication

Requirements

• Currently has, or is in the process of obtaining (with degree expected by the scheduled start date), one of the following:
  • Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 2 years of data analytics experience
  • Master’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related), or an MBA with a quantitative concentration
  • STEM Master’s (Science, Technology, Engineering, or Mathematics), or STEM PhD (Science, Technology, Engineering, or Mathematics)
• Experience working with AWS
• At least 2 years of experience with Python, Scala, or R
• At least 2 years of experience with machine learning
• At least 2 years of experience with SQL

Technologies

• Python, Conda, AWS, H2O, Spark
• Scala, R, SQL
• Transformer-based architectures
• Reinforcement Learning
• Foundation Models
• Causal Inference
• Recommender Systems

Team Description

• Applied AI team within AI Foundations working at the intersection of deep research and real-world impact
• Build and deploy next-generation personalized customer experiences across Capital One web and mobile applications using high-scale machine learning models
• Architect and deploy personalized recommendation engines
• Work informed by original research into homegrown Foundation Models, advanced Reinforcement Learning techniques, and scalable architecture for billions of interactions
• Focus areas include Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems

Ideal Candidate Profile

• Customer first: enjoy analyzing and creating while focusing on doing the right thing
• Innovative: research and evaluate emerging technologies
• Technical: comfortable with open-source languages and interested in continued development
• Data guru: not intimidated by big data

Location

• McLean, VA (onsite)

Compensation

• McLean, VA: $135,600 - $154,800 per year
• New York, NY: $148,000 - $168,900 per year
• San Jose, CA: $148,000 - $168,900 per year

Benefits

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

• Expected application review minimum: 5 business days
• No agencies please
• Capital One is an equal opportunity employer (EOE, including disability/vet)
• Capital One promotes a drug-free workplace
• Capital One considers qualified applicants with criminal history in accordance with applicable laws
• Accommodation requests: 1-800-304-9102 or [email protected]
• Technical support or recruiting questions: [email protected]
• Capital One does not provide, endorse, or guarantee third-party products, services, educational tools, or other information available through this site