Recommendation & Personalization Data Jobs

1 job found

1d ago

Senior Associate, Data Scientist - Recommendation & Personalization Systems

Information Technology Senior Management Forum McLean, VA

McLean, VA

1d ago

$136k - $155k/yr Full time Senior Data Science Data Scientist

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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 RecruitingAccommodation@capitalone.com
Technical support or recruiting questions: Careers@capitalone.com
Capital One does not provide, endorse, or guarantee third-party products, services, educational tools, or other information available through this site

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