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Salary: USD 120,000 - 250,000 / annual
Veeva Business Consulting, part of Veeva's industry cloud for Life Sciences, is seeking a Global Data Science Lead to lead the data science function within the Global Analytics Business Consulting Team. This role reports to Global Analytics leadership and is responsible for executing Veeva's Data Science and AI strategy at scale.
You will lead a team of data scientists, AI/ML engineers, and analysts, translating strategic priorities into delivery plans. Key responsibilities include:
- Leading and mentoring a team of 10+ data scientists, AI/ML engineers, and analysts
- Partnering with Global Analytics leadership to align team priorities with broader Data Science AI strategy
- Owning global methodology for model management, observability, testing, and deployment
- Overseeing design and implementation of advanced analytics, machine learning, and generative AI/LLM models
- Ensuring development of robust, scalable data and AI infrastructure
- Collaborating with consulting and engineering teams to integrate AI-driven solutions into customer engagements
- Enforcing best practices for data quality, security, governance, and responsible AI
- Implementing rigorous testing procedures for data, ML, and AI model validation
- Working with product and business stakeholders to identify AI opportunities within engagements
Veeva is a Public Benefit Corporation and industry leader in Life Sciences software, data, and AI. The Business Consulting division, launched in 2019, has grown to over 500 global experts combining domain expertise with innovative technology. The company operates on a Work Anywhere model with headquarters in the San Francisco Bay Area and offices in 15+ countries.
REQUIREMENTS:
- Ph.D. in Economics, Machine Learning, Applied Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or other quantitative discipline with 5+ years of relevant industry experience; OR M.S. with 8+ years of relevant demonstrable research experience
- Experience with Life Sciences industry and applying analytics/AI/ML to related datasets
- Hands-on experience building or deploying LLM-based systems (prompt engineering, RAG, agentic workflows, or fine-tuning)
- Advanced, in-depth specialization in data science and AI techniques: classification, pattern recognition, clustering, feature analysis, NLP, fuzzy matching, sentiment analysis, A/B testing, active/adaptive learning
- Proven leadership of teams of 10+ people
- Intellectual curiosity with excellent problem-solving and quantitative skills; ability to disaggregate issues, identify root causes, and recommend solutions
- Excellent oral and written communication skills; ability to explain complex technical and AI-driven solutions to team members and clients
- Comfort with changing requirements and priorities
- Results-oriented; able to move forward without complete information and with minimal supervision
NICE TO HAVE:
- Advanced experience with AWS, Snowflake, or Databricks
- Data pipeline building skills
- Product development experience
- Experience with LLM orchestration frameworks (LangChain, LlamaIndex) or vector databases
- Experience designing AI-native products or workflows
