Staff Data Scientist - Personalization, Intelligence

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

#J-18808-Ljbffr