Senior Associate, Data Scientist - Recommendation & Personalization Systems

Information Technology Senior Management Forum; McLean (VA); On-site; USD 136,000 - 155,000; Full time

Benefits offered by this job

Performance-based incentives

Comprehensive benefits

Job summary

Capital One in McLean, VA is seeking a Senior Associate Data Scientist focused on recommendation and personalization systems, building high-scale models for customer experiences across web and mobile.

You will collaborate with data scientists, software engineers, and product managers to translate complex analytics into business value, using Python, AWS, Spark, and a modern ML stack to deploy models in production.

Qualifications

• Bachelor’s degree in a quantitative field plus 2 years of data analytics experience.
• Master’s degree in a quantitative field or MBA with quantitative concentration
• STEM Master’s or STEM PhD holders

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

Skills

Machine learning

Python

SQL

Data analytics

Communication

Scala

R

Spark

Conda

Transformer-based architectures

Reinforcement Learning

Foundation Models

Causal Inference

Recommender Systems

Education

Bachelor’s degree in a quantitative field

Master’s degree in a quantitative field or MBA with quantitative concentration

STEM Master’s or STEM PhD

Tools

Python

Conda

AWS

H2O

Spark

Scala

R

SQL

Job description

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 [e-mail]
• Technical support or recruiting questions: [e-mail]
• Capital One does not provide, endorse, or guarantee third-party products, services, educational tools, or other information available through this site