Top 6 Lead data scientist Jobs in Irvine, Ca

Lead Data Scientist (Context Engineering)
Rivian —Irvine, CA
- Full-time
- Computer Science
- Ability to walk for extended periods
- Office
Quick Apply
12h
Tech Lead - Data Scientist
Obsidian Security —Newport Beach, CA
- $220,000 - $250,000 a year
- 6 years
- Salesforce
- APIs
Quick Apply
Lead Data Scientist (Agentic Solutions)
Rivian —Irvine, CA
- Full-time
- Computer Science
- Ability to walk for extended periods
- System design
Quick Apply
12h
Engineering Data Scientist (Senior or Lead)
Boeing —Seal Beach, CA
- $173,400 - $295,550 a year
- Azure
- Computer Science
- Bachelor of Science
- Health savings account
- Disability insurance
22h
Lead Actuarial Predictive Modeler
ACSC Management Services Inc —Costa Mesa, CA
- $145,900 - $194,600 a year
- Full-time
- 7 years
- Master's degree
- SQL
- Paid parental leave
- Health insurance

Discover related jobs

Based on your search for lead data scientist jobs.

Lead Software Engineer – AI / Financial Systems
Computer Enterprises Inc —Glendale, CA
Lead the design, development, and deployment of software solutions for licensing financial systems and AI-powered applications.
$75 - $85 an hour
Quick Apply
14d
Data Strategy Lead
PIMCO —Newport Beach, CA
This person will be part of our PM Analytics function and be responsible for shaping our technical vision for data management and production that underpins our…
$205,000 - $305,000 a year

Show more related jobs

Explore jobs in cities nearby

Check out jobs in cities near your current location, Columbus

Lead Data Scientist - US Remote
Hexion Inc. —Columbus, OH
Design, develop, and own advanced ML solutions — including predictive models, time-series forecasting, optimization, and decision-support systems — scoped to…
Lead Data Scientist
Safelite Group —Columbus, OH
Lead knowledge sharing through code reviews, technical standards, and design discussions. Bachelor's Degree In Data Science, Statistics, Computer Science,…
12d

Show more jobs in cities nearby

I want to receive the latest job alert for lead data scientist in irvine, ca

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

lead data scientist jobs near irvine, ca

Lead Data Scientist (Context Engineering)

Rivian -
Irvine, CA

Quick Apply

Job Details

Full-time
12 hours ago

Qualifications

Phone communication
Bachelor's degree

Full Job Description

Rivian's AI team sits within the Analytics function of the Customer organization—the team that spans Marketing, Sales, and Market Intelligence—and is building the semantic and data infrastructure that makes intelligent agents possible at scale. As a Staff/Lead Data Scientist focused on Context Engineering, you will design the knowledge layer that AI agents reason from—owning the ontologies, semantic models, identity resolution logic, and retrieval architecture that unify Rivian's Marketing, Sales, and Fulfillment data into a coherent, AI-consumable ecosystem. This is a foundational systems role: the agents are only as good as the context you build. You'll work at the intersection of data architecture, knowledge engineering, and applied AI, partnering closely with the Agentic Solutions team, Data Platform, MarTech, and the broader Customer org Analytics team.

Customer Domain Ontology: Design, develop, and own the semantic layer and business ontology—mapping definitions, relationships, and business logic across Marketing, Sales, and Fulfillment. Ensure AI agents have a standardized, enterprise-wide conceptual framework to reason accurately and consistently.
Cross-Functional Data Modeling: Architect a unified 'Customer 360' schema that harmonizes disparate data streams from Marketing, Sales, and Fulfillment into a single, AI-consumable source of truth.
RAG & Vector Architecture: Design the Retrieval-Augmented Generation (RAG) infrastructure, determining how unstructured data (e.g., shipping logs, sales notes, brand guidelines) is indexed, chunked, and retrieved for agentic context.
Identity & State Orchestration: Build the logic for persistent identity resolution and conversation state, ensuring an AI agent can maintain customer context as they move from a sales inquiry to a fulfillment update.
Agentic Tooling & API Design: Architect the Action Layer—the secure framework of APIs and function calls that allow agents to execute tasks across Salesforce, Braze, and specialized in-house applications.
AI Data Governance: Establish protocols for data privacy, security, and latency, ensuring agents only access authorized data and respond with sub-second retrieval times.

Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field; Master's degree preferred.
Experience: 8+ years in Data Architecture, Systems Engineering, or Data Engineering, with a proven track record of designing complex, multi-source data ecosystems.
Semantic Modeling & Ontologies: Proven experience building semantic layers, knowledge graphs, or data ontologies. Ability to translate abstract business rules and cross-departmental relationships into structured data definitions that LLMs can naturally interpret.
Architectural Vision: A systems-thinking mindset; you can map how a change in a fulfillment status ripples through the data layer to inform a marketing re-engagement agent.
Databricks Expertise: Deep mastery of the Databricks ecosystem (Unity Catalog, Delta Lake, Vector Search) to manage the end-to-end data lifecycle for AI.
Technical Mastery: Expert-level command of vector databases and orchestration frameworks (e.g., LangChain, LlamaIndex). Expert-level Python and strong SQL. You understand the plumbing required to connect LLMs to enterprise data.
MarTech & CRM Literacy: Deep functional knowledge of how data is structured within CDP platforms, CRM systems (e.g., Salesforce), and behavioral event streams to support cross-departmental agent hand-offs.
Internal Systems Integration: Experience architecting data flows between modern cloud stacks and proprietary in-house applications, ensuring seamless bi-directional communication for AI agents.
Environment: Comfortable operating in a fast-paced, high-ambiguity environment with strong attention to detail, a builder's mentality, and the ability to make principled architectural decisions with incomplete information.
Ability to stand, sit, or walk for 8-10 hours per day.
Required to communicate using phone and/or e-mail.
Ability to view, read, and interpret documents.
Ability to perform all duties in an office environment that may contain ambient noise and temperature fluctuations.

Quick Apply

Refine Your Search

lead data scientist jobs in irvine, ca

Lead Data Scientist (Context Engineering)

Tech Lead - Data Scientist

Lead Data Scientist (Agentic Solutions)

Engineering Data Scientist (Senior or Lead)

Lead Actuarial Predictive Modeler

Discover related jobs

Explore jobs in cities nearby

I want to receive the latest job alert for lead data scientist in irvine, ca

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected