Data Scientist, Site Services

We are seeking a Data Scientist with expertise in Generative AI and Traditional Machine Learning to design, build, and deploy AI/ML-powered solutions that enhance operational efficiency, automate workflows, and drive strategic decision-making.

As part of the Digital Strategy and Products (DS&P) team, you will play a key role in shaping and delivering AI-driven capabilities across the enterprise. You will report directly to the AI Strategy Lead and work in close partnership with AI Champions as well as colleagues in Data Insights, Digital Environment, and Digital Workflow teams.

This role demands technical excellence, business acumen, and adaptability to integrate AI/ML into existing enterprise systems while collaborating across IT/Informatics and Site Services business functions.

Roles & Responsibilities:

• Design, develop, and deploy AI-powered workflows, assistants, and automation using Large Language Models (LLMs).

• Build and optimize retrieval-augmented generation (RAG) pipelines, integrating with enterprise systems via APIs.

• Apply prompt engineering and fine-tuning to improve model output quality and relevance.

• Rapidly develop proof-of-concept and production-ready solutions that address targeted business needs.

• Continuously evaluate emerging AI capabilities to identify innovation opportunities.

• Perform data preparation, exploratory data analysis (EDA), and statistical modeling.

• Develop, deploy, and monitor supervised and unsupervised ML models (e.g., regression, decision trees, SVMs, clustering).

• Implement automated retraining pipelines and performance optimization strategies.

• Integrate ML outputs into operational systems to support business decision-making.

• Engage cross-functionally with IT/Informatics, Site Services, and DS&P teams to ensure AI/ML initiatives align with enterprise priorities.

• Partner with AI Champions to identify, refine, and deliver impactful AI solutions.

• Facilitate knowledge sharing and best practices across business units to accelerate AI adoption.

• Translate complex AI concepts into clear, actionable insights for non-technical stakeholders.

• Collaborate with Data Insights, Digital Environment, and Digital Workflow teams to ensure AI/ML capabilities are embedded into enterprise digital platforms.

• Support change management and adoption by building trust, demonstrating value, and addressing user concerns.

Skills & Experience:

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience).

• 1-3 years of experience in AI/ML, data science, or applied analytics.

• Hands-on experience with Generative AI tools and frameworks, including LangChain, OpenAI API, Google Gemini, Anthropic Claude, and AWS Bedrock.

• Hands-on experience with Traditional AI tools and frameworks, including Snowflake, AWS (SageMaker, Lambda, S3, CloudWatch), Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Matplotlib, Seaborn), and SQL

• Strong understanding of LLMs and ML algorithms, evaluation metrics, and cloud-based deployment practices.

• Experience with retrieval-augmented generation (RAG) pipelines and vector databases.

• Knowledge of cloud security, scalability, and monitoring best practices.

• Experience with MLOps, API development, and containerized deployments (Kubernetes, Kubeflow).

• Strong portfolio demonstrating end-to-end AI/ML project delivery.

• Ability to bridge technical AI capabilities with business objectives.

• Awareness of emerging AI trends and the ability to rapidly test and adapt them.

• Collaborative mindset, equally comfortable working with engineers, analysts, and business leaders.

• Balance of innovation with practicality, delivering high-impact, deployable solutions.

This position is not eligible for relocation.

The expected salary range for this position based on the primary location of California is $122,300 - $227,100 USD Annual. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.