Robert Half

Data Scientist II

SAN RAMON, USA · Mid · Contract

Sponsorship not specified$119k-$180kDetected 15 days ago

PythonAzureMachine LearningData ScienceLLMsRAGAgentic AILangGraphAI OrchestrationA/B TestingResearchCommunicationCollaborationMentoring

About the role

The typical annual salary range for this position is shown below and is negotiable depending upon experience and location.
Robert Half provides paid time off for vacation, personal needs, and sick time.
The amount of Choice Time Off (CTO) our people receive varies based on their years of service and is pro-rated based on the hours worked per week.

Design and implement Gen AI-powered agents that solve real business challenges and streamline internal workflows.
Extend and optimize the internal agent evaluation framework to ensure reliable, high-performing, and explainable agents.
Build benchmarking and monitoring systems to assess orchestration strategies and model performance in production.
Build on existing prompt engineering frameworks to standardize best practices and eliminate "prompt debt."
Move beyond chatbots to create ambient, context-aware agents that boost efficiency and unlock new productivity avenues.
Collaborate with engineering teams to advance the internal agentic platform, focusing on orchestration, observability, and optimization.
Partner with product managers to assess technical feasibility, estimate level of effort (LoE), and prioritize development initiatives.
Lead roadshows and demos to advocate for Gen AI tools and drive cultural change across the enterprise.
Hands-on experience building and deploying LLM-based agents, RAG pipelines, and multimodal Gen AI systems.
Experience developing and maintaining prompt engineering standards and frameworks.

5+ years of experience in applied ML, AI development, or advanced data science roles.
Proficiency in Python and Gen AI frameworks
Strong understanding of agent orchestration frameworks (LangGraph, LangChain, AutoGPT, or equivalent).
Demonstrated expertise in benchmarking, A/B testing, and model monitoring for AI systems.
Proven track record of mentoring team members and driving innovation in AI workflows.

Familiarity with internal experimentation, observability, or AI governance tools is a plus.
Contributions to open-source projects, research publications, or AI community initiatives is a plus.

The typical annual salary range for this position is shown below and is negotiable depending upon experience and location.

Communicate complex AI concepts effectively to non-technical stakeholders, supporting organizational learning and adoption.
Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or related fields.

Ready to revolutionize the future of Gen AI and data-driven decision-making? Join our pioneering Data Science team as we embark on an exciting journey to unlock insights, drive innovation, and shape the landscape of our organization's success.
If you're passionate about leveraging cutting-edge Generative AI technologies, transforming raw data into actionable intelligence, and building scalable agentic systems that augment human workflows, we want you on our team.
As a Data Scientist II - Generative AI, you will lead advanced analytics and agent development projects, leveraging Azure and Microsoft data services alongside modern Gen AI frameworks. You'll combine deep data science expertise, hands-on machine learning experience, and an innovative mindset to create intelligent agents, elevate productivity, and deliver measurable business outcomes.
Join our pioneering Data Science team as we embark on an exciting journey to unlock insights, drive innovation, and shape the landscape of our organization's success.
As a Data Scientist II - Generative AI, you will lead advanced analytics and agent development projects, leveraging Azure and Microsoft data services alongside modern Gen AI frameworks.
You'll combine deep data science expertise, hands-on machine learning experience, and an innovative mindset to create intelligent agents, elevate productivity, and deliver measurable business outcomes.

This listing is sourced directly from Robert Half's careers page and normalized into a canonical job model.