Principal Data Scientist

Genentech • South San Francisco, CA

231d • $207,480 - $385,320

About The Position

The Principal Data Scientist develops and maintains AI-enabled data science products that leverage advanced analytics and machine learning to solve complex business challenges, uncover trends, and enable strategic decision-making. This role combines mathematical expertise, coding proficiency, and innovative problem-solving to create and deploy cutting-edge data science solutions, driving impactful outcomes across the organization.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
• 8 years of experience in a data science or a related role.
• Strong knowledge of SQL for database management.
• Proficiency in programming languages such as Python, R.
• Solid understanding of statistical methods and machine learning algorithms.
• Excellent verbal and written communication skills, with the ability to present complex data analyses to non-technical stakeholders.
• Strong critical thinking and problem-solving abilities, with a detail-oriented approach to data analysis.

Nice To Haves

• At least 4 years of experience implementing LLMs (e.g., GPT, BERT, Claude, etc.) and Generative AI solutions in production environments.
• Strong expertise in Machine Learning and Deep Learning techniques, with a specific focus on NLP-related architectures such as Transformers.
• Demonstrated working knowledge of recent advancements in LLMs, Agentic Workflow Design Patterns, and open-source frameworks like LangChain, LlamaIndex, LangGraph.
• In-depth knowledge of Prompt Engineering and Chain-of-Thought Prompting strategies.
• Experience working with large, complex data using Hadoop or Spark or any other big data platforms.
• Experience with other Data Science and cloud-computing tools and platforms (AWS, GCP, etc.).
• Experience with deploying LLMs via third-party API service providers like Open AI, Anthropic, AWS Bedrock.
• Proficiency using ML in a variety of contexts such as insight generation, ROI calculation, text classification, clustering.
• Experience with data visualization tools such as tableau, and/or Qlik, and/or data studio.
• Experience acting as a strategic thought partner to teams.
• Proven track record of leadership, time-management, project management, and teamwork.

Responsibilities

• Apply data science and other advanced analytical methodologies, particularly in the areas of Predictive/Generative/Agentic AI using multiple data sources and tools.
• Collaborate with data science product owners/managers, data leads, Machine Learning (ML) Engineers, MLOps, and Informatics (IT) team to develop efficient machine learning-based applications, gain alignment, and deliver impactful business insights.
• Communicate findings effectively to both technical and non-technical audiences.
• Maintain high standards of data quality, security, and governance, ensuring robust documentation and adherence to best practices.
• Drive the next wave of development, deployment, and industrialization of Predictive AI, advanced LLM - Generative AI and Agentic AI applications.
• Proactively identify emerging technologies and champion their integration to address complex Commercial and Medical needs.
• Translate deep market, customer, and competitive insights into forward‑looking AI strategies with senior stakeholders, ensuring solutions not only enhance the integrated customer experience but also anticipate future industry shifts.
• Partner with senior leadership to refine and prioritize AI/ML initiatives, ensuring alignment with enterprise objectives.
• Oversee complex, large‑scale ML initiatives (including multi‑source data integration and advanced model pipelines) with robust governance, scalability, and compliance frameworks.
• Act as a thought leader for applicable data science to elevate the organization's AI maturity by introducing cutting‑edge Data Science methodologies.
• Ensure cohesive partnerships among Data Science, ML Engineering, MLOps, Product, and Informatics (IT) teams.
• Champion data‑centric culture and influence leadership to adopt forward‑thinking AI solutions enterprise‑wide.
• Establish clear metrics of success for all AI/ML programs, hold teams accountable for outcomes, and proactively course‑correct when needed.
• Stay abreast of the latest advancements in data science and AI technologies, applying innovative approaches to enhance product capabilities.
• Comply with all laws, regulations, and policies that govern the conduct of Genentech activities.

Benefits

• Discretionary annual bonus based on individual and Company performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Chemical Manufacturing
• Education Level: Bachelor's degree