Data Scientist II

Company: Robert Half

Location: San Ramon, CA (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-07-31

About this role

Who We Are
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.


What You'll Do

  • 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.
  • Conduct experiments to evaluate the impact of model or architecture changes, balancing performance, cost, and scalability.
  • 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.
  • Mentor and guide junior data scientists and software engineers on Gen AI techniques and frameworks.
  • Partner with product managers to assess technical feasibility, estimate level of effort (LoE), and prioritize development initiatives.
  • ...

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