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Senior Data Scientist, Recommendation & Personalization Team - Job Opportunity at Capital One

San Jose, United States
Full-time
Senior
Posted: January 19, 2025
On-site
USD 145,100 - 165,600 per year

Benefits

Comprehensive health insurance with competitive market coverage
Performance-based incentives including cash bonuses and LTI
Total wellbeing support programs
Flexible work arrangements based on role requirements
Career development and learning opportunities
Competitive retirement benefits package

Key Responsibilities

Lead development of state-of-the-art AI/ML solutions for digital channels
Drive experimentation and innovation in recommendation systems
Partner with cross-functional teams to deliver customer-centric products
Develop and implement machine learning models through full lifecycle
Translate complex technical concepts into business value propositions
Research and apply emerging technologies in AI/ML domain

Requirements

Education

Bachelor's Degree plus 3 years experience or Master's Degree plus 1 year experience

Experience

1 year minimum in data analytics, machine learning, and relational databases

Required Skills

Python, AWS, Pyspark, Nvidia Rapids/Merlin/Triton Machine learning model development Statistical analysis and validation Big data processing SQL and relational databases Open source programming Cross-functional collaboration Technical leadership
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Sauge AI Market Intelligence

Industry Trends

Financial services are increasingly leveraging AI for personalization, with recommendation systems becoming a key differentiator in customer experience The convergence of traditional banking and tech-driven solutions is creating high demand for data scientists who can bridge both domains Cloud-native development and real-time personalization are becoming standard requirements in financial technology

Salary Evaluation

The offered salary range aligns with market standards for senior data science roles in Silicon Valley, though it's in the mid-tier range compared to tech giants

Role Significance

Typically part of a 5-8 person specialized AI team within a larger technology organization
Senior individual contributor with significant technical leadership responsibilities and strategic input into product direction

Key Projects

Enterprise-scale recommendation system development Real-time personalization engine implementation Customer experience optimization through ML Digital channel engagement enhancement

Success Factors

Deep expertise in both theoretical and applied machine learning Ability to balance technical innovation with practical business outcomes Strong cross-functional collaboration skills Experience with large-scale data processing and real-time systems Understanding of financial services domain and customer behavior

Market Demand

Very high demand, particularly in financial services sector where AI/ML expertise combined with domain knowledge is crucial for digital transformation initiatives

Important Skills

Critical Skills

Advanced ML/AI expertise, particularly in recommendation systems and personalization Large-scale data processing and real-time system development Cross-functional leadership and stakeholder management

Beneficial Skills

Financial services domain knowledge Cloud architecture experience Causal inference and experimentation design

Unique Aspects

Rare opportunity to work on recommendation systems at scale in financial services
Direct impact on millions of customers through digital channels
Blend of fintech innovation with established enterprise resources

Career Growth

2-3 years in role before advancement, depending on impact and organizational growth

Potential Next Roles

Lead Data Scientist Principal Data Scientist AI/ML Technical Director Head of Data Science

Company Overview

Capital One

Fortune 200 financial services company with a strong focus on technology-driven innovation

Leading position in credit cards and banking with significant investment in digital transformation
Major technology hub in Silicon Valley with significant AI/ML initiatives
Innovation-focused environment with emphasis on technical excellence and customer-centric solutions
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