Data Scientist II

About the role

Join our pioneering Data Science team as we revolutionize the future of Gen AI and data-driven decision-making. As a Data Scientist II – Generative AI, you will lead advanced analytics and agent development projects, combining deep data science expertise with modern Gen AI frameworks.

Responsibilities

• 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.
• Develop and maintain prompt engineering standards and frameworks.
• 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.
• Bring innovative ideas to evolve agentic architecture and continuously advance internal AI capabilities.
• Communicate complex AI concepts effectively to non-technical stakeholders, supporting organizational learning and adoption.
• Lead roadshows and demos to advocate for Gen AI tools and drive cultural change across the enterprise.

Requirements

• Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or related fields.
• 5+ years of experience in applied ML, AI development, or advanced data science roles.
• Hands-on experience building and deploying LLM-based agents, RAG pipelines, and multimodal Gen AI systems.
• 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.
• Experience developing and maintaining prompt engineering standards and frameworks.
• Able to evaluate and optimize model performance across different LLMs and architectures.
• Strong communication and collaboration skills across product, engineering, and business teams.
• Prominent 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.

Benefits

The typical annual salary range for this position is $119,000.00 - $180,000.00. The position is eligible for a discretionary annual bonus. 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. A new hire earns up to 17 days of CTO per calendar year. We also offer the opportunity to contribute to our company 401(k) savings and investment plan or deferred compensation plan (if eligible), with an employer match of 100% on the first 3% of your contributions for eligible employees.