About this opportunity
Jobtailor lists this Staff Data Scientist – Personalization, Intelligence opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Own the team’s semantic and intelligence architecture for member, customer, and provider profile data
Provide system-wide design guidance and ensure robust data contracts across platform teams
Use AI to explore and validate architectural patterns and decisions
Design AI-augmented workflows such as automated code generation and incident analysis
Enable personalized decisioning systems, agentic workflows, and real-time inference serving on AWS
Establish guardrails for safe, compliant, and correct LLM-based AI usage
Influence large cross-team projects and remove execution barriers
Create strategies and objectives for the core intelligence and recommendation engine
Build relationships with cross-functional teams and business stakeholders and make short- and long-term tradeoffs
Mentor and develop data scientists and engineers across the organization on DS/ML best practices
Participate in an on-call rotation and improve preparation and planning to reduce production incidents
Lead large-scale initiatives to reduce technical debt, improve architecture, and meet latency and scalability targets for production AI systems
Requirements
8+ years of experience building production ML/AI systems, inference microservices, and real-time data pipelines
Hands-on experience with Snowflake and OpenSearch for profile data/vector search
Experience with LLM orchestration, including LangGraph and LangSmith
Proven Staff-level track record operating effectively in highly ambiguous territories, investigating emerging technologies, and aligning diverse stakeholders around a clear technical strategy
Demonstrated ability to mentor and develop engineers across the organization
Ability to cover broad technology areas while diving deep into architectural complexity and scalability for data flows, model pipelines, inference endpoints, and endpoint management
Track record of technical leadership, creating clarity from ambiguity, defining strategy from vision, and driving organization-wide architectural improvements
Advanced degree (MS/PhD) in Computer Science, Machine Learning, or a related field
Core Competencies
Expertise in building production ML/AI systems and real-time data pipelines, with a strong focus on architectural complexity and scalability. Proven ability to mentor teams and influence cross-functional projects while ensuring compliance and safety in AI usage.
Highest-signal resume keywords
Production ML/AI Systems Development
Real-Time Data Pipelines
LLM Orchestration
Technical Leadership
Mentoring Data Scientists and Engineers
Hard Skills
Machine Learning
Artificial Intelligence
Data Pipeline Development
Architectural Design
Inference Microservices
Automated Code Generation
Incident Analysis
Scalability Optimization
Data Contracts
Technical Debt Reduction
Soft Skills
Cross-Functional Collaboration
Stakeholder Alignment
Strategic Thinking
Problem Solving
Mentorship
Certifications & Qualifications
Advanced Degree in Computer Science
Advanced Degree in Machine Learning
Industry Keywords
AI-Augmented Workflows
Real-Time Inference Serving
Data Science Best Practices
Profile Data Management
Recommendation Engine
Tools & Technologies
AWS
Snowflake
OpenSearch
LangGraph
LangSmith
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.