Data Science Team Lead at OREDATA, leading teams to resolve data science challenges in a hybrid environment. Joining a digital transformation firm with a strong collaborative culture.
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
Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
Clinical Data Manager supporting research projects and managing patient databases at Mass General Brigham. Interact with patients and maintain data integrity in clinical research.
Technical Lead in Data Science guiding analytical systems design and team mentorship for a finance technology company. Collaborating across engineering and research to drive innovation and data excellence.
Technical Lead in Data Science at Voleon, driving the design and implementation of analytical systems. Mentoring a growing team of data scientists while ensuring methodological rigor in finance applications.
Data Scientist developing analytical solutions for customer data transformation and supporting critical business decisions. Focus on quality and integrity of data through statistical models and analysis.
Junior Data Scientist developing demand forecasting models for Nestlé’s Supply Chain team. Collaborating with analysts and planners to improve forecasting tools and processes.
HCM Data and Process Analytics Lead at ABB building business intelligence for HCM solutions. Analyzing data to drive improvements in performance and data quality across the organization.
Data Scientist owning and delivering production - grade data pipelines at Simbe Robotics. Collaborating with Product Management, Engineering, and Commercial teams to surface insights from retail data.