Data Scientist analyzing large datasets to discover trends and supporting business stakeholders with data - driven insights. Designing machine learning models and presenting information through data visualization.
About the role
- Senior Data Scientist designing generative AI applications at Roche, leveraging extensive expertise in AI and business applications. Collaborating with teams and influencing technical priorities in a dynamic environment.
Responsibilities
- Design high-level agentic business applications and fundamental capabilities based on an extensible multi-agent infrastructure
- Partner with infrastructure teams to design agents and provide critical feedback to bridge capability gaps
- Collaborate with product owners to ensure the development approach aligns with and optimizes the desired user experience
- Maintain a position on the cutting edge of LLMs, agentic flow design, and smooth UX creation
- Stay at the forefront of Generative AI models and bring the newest technologies into the team’s workflow
- Influence technical decisions and priorities within a complex enterprise environment
- Represent the team’s initiatives and expertise within Genentech and the broader global Roche organization
- Cultivate and maintain thriving relationships with both internal and external partners
- Master the use of observability tools and evaluation methodologies to monitor and improve agentic systems
- Manage factors impacting system performance, including cost, reliability, and latency
- Utilize SQL and AI-generated SQL techniques alongside advanced RAG architectures and document optimization methods like chunking
- Coach team members and stakeholders to increase their AI proficiency and savvy
- Surface potential systemic issues to leadership to ensure operational excellence
- Embrace a culture of taking risks, failing forward, and compromising based on business priorities
- Ensure all activities comply with laws, regulations, and policies governing Genentech and Roche
Requirements
- Bachelor's degree
- 8+ years of experience in a relevant field
- Minimum 3 years of experience in building Gen AI products in B2B environments
- Mastery of various LLMs, vector databases, graph databases, and reranking algorithms
- Hands-on experience with LangChain, LangGraph, AWS Agentcore, or similar frameworks
- Mastery of RAG architecture and document optimization methods such as chunking
- Working knowledge of MCP, A2A protocols, and multimodal Gen AI application building
- Familiarity with UI tools such as Figma, Angular, or React to support UX-focused development
- Excellent verbal and written skills
Benefits
- Personal expression encouraged
- Open dialogue
- Genuine connections
- Valued and respected workplace culture
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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