Data Scientist Lead - Construction - Irvine, CA

Data Scientist Lead

• Construction

•

Irvine, CA Austin, United States Job ID:

R01565298

Data Scientist Lead

• Construction
• Irvine, CA Data Scientist Primary Skills Classification (Decision Trees, SVM), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Great Expectation, Evidently AI, Hypothesis Testing, ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Probabilistic Graph Models, Python/PySpark, R/ R Studio, Regression (Linear, Logistic), SAS/SPSS, Statistical analysis and computing, Tools(KubeFlow, BentoML),

T-Test, Z-Test Specialization Data Science Advanced:

Data Specialist Job requirements About the Role Looking for a Forward Deployed Engineers to partner directly with business teams to design, build, and deploy AI-powered solutions on Google's enterprise AI stack. You will work hands-on with stakeholders to translate business problems into production-grade agentic applications. What You'll Do

• Build and deploy AI agents and LLM-powered solutions using Google Gemini Enterprise and Vertex AI
• Partner with key business functions like Finance, Legal and Agent Growth business teams to prototype, and scale high-impact use cases
• Comfortable with experimentation on yet to be completely defined use cases
• Integrate AI workflows with Google Workspace (Gmail, Drive, Sheets) and other enterprise systems
• Evaluate and leverage Gemini and non-Gemini models via Vertex AI Model Garden where appropriate
• Iterate quickly with end users — ship, measure, refine
• Build solutions that can be translated into repeatable framework What We're Looking For
• Strong software engineering fundamentals with a builder's mindset
• Hands-on experience with LLMs, RAG, and ideally agentic frameworks (LangChain, LangGraph, CrewAI, Google ADK, or similar)
• Experience with Google Cloud / Vertex AI is a strong plus; Workspace API familiarity ideal
• Curiosity and comfort working directly with both technical and non-technical business stakeholders
• Experience
• 4 to 8 years