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Salary: USD 120,000 - 250,000 / annual
Veeva Business Consulting, part of Veeva Systems (a public benefit corporation), is seeking a Global Data Science Lead to lead the data science function within the Global Analytics Business Consulting Team. This is a leadership role managing a team of data scientists, AI/ML engineers, and analysts, responsible for applying advanced analytics, machine learning, and generative AI/LLM techniques to life sciences data.
In this role, you will lead, mentor, and inspire your team while partnering with Global Analytics leadership to translate data science and AI strategy into delivery. You will own global methodology around model management, observability, testing, and deployment. Key responsibilities include overseeing the design and implementation of advanced analytics and ML/AI models, ensuring robust and scalable data and AI infrastructure, fostering collaboration between consulting and engineering teams, and enforcing best practices for data quality, security, governance, and responsible AI.
You will work directly with cross-functional consulting teams to understand customer business requirements and translate them into AI-native, data-driven solutions. You'll collaborate with product and business stakeholders to identify opportunities for applying AI within engagements, and implement rigorous testing procedures to validate the accuracy and reliability of data, ML, and AI models.
Veeva is a Work Anywhere company, allowing flexibility to work from home or office. The company operates globally with headquarters in the San Francisco Bay Area and offices in more than 15 countries. Veeva Business Consulting has grown to over 500 global experts since its launch in 2019 and is growing aggressively toward 2030.
Benefits include medical, dental, vision, and basic life insurance; flexible PTO and company-paid holidays; retirement programs; a 1% charitable giving program; and unrivaled career progression in a fast-growing, global team.
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 the Life Sciences industry and applying analytics and AI/ML to related data sets
- 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 including 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, including ability to disaggregate issues, identify root causes, and recommend solutions
- Excellent oral and written communication skills with ability to explain complex technical and AI-driven solutions to team members and clients
- Comfort with changing requirements and priorities
- Results-oriented with ability 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 (e.g., LangChain, LlamaIndex) or vector databases
- Experience designing AI-native products or workflows, not just adding AI to existing systems
