Global Data Science Lead

Veeva Systems • New York - New York City, NY

2d • Remote

About The Position

Veeva Business Consulting is a fast-growing global consulting organization that combines Life Sciences domain knowledge with software, data, AI, and business consulting. The Global Analytics Business Consulting Team applies data science and AI to help customers turn commercial, medical, and regulatory data into action.

The Global Data Science Lead supports execution of the Data Science AI strategy within the Global Analytics Team. The role leads a group of data scientists, AI/ML engineers, and analysts, partnering with Global Analytics leadership to translate strategy into delivery using advanced analytics, machine learning, and generative AI/LLM techniques applied to Life Sciences data. This position is Work Anywhere, with the option to work from home or an office.

Requirements

• Ph.D. in Economics, Machine Learning, Applied Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or another quantitative discipline with 5+ years of relevant industry experience; or equivalent M.S. with 8+ years of relevant demonstrable research experience.
• Experience with the Life Sciences industry and applying analytics and AI/ML to related datasets.
• Hands-on experience building or deploying LLM-based systems, such as 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, and active/adaptive learning.
• Proven leadership of teams of 10 or more people.
• Intellectual curiosity and excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes, and recommend solutions to non-standard problems.
• Excellent oral and written communication skills, including the ability to explain complex technical and AI-driven solutions to team members and clients.
• Comfort with changing requirements and priorities.
• Results-oriented, with the ability to make progress without complete information and with minimal supervision.

Nice To Haves

• Advanced experience with AWS, Snowflake, or Databricks.
• Data pipeline-building skills.
• Product development experience.
• Experience with LLM orchestration frameworks such as LangChain or LlamaIndex, or with vector databases.
• Experience designing AI-native products or workflows rather than merely adding AI to existing systems.

Responsibilities

• Lead the Data Science function within the Global Analytics Team in alignment with Veeva's Analytics Business Consulting goals.
• Lead, mentor, and inspire a team of data scientists, AI/ML engineers, and analysts.
• Partner with Global Analytics leadership to translate the broader Data Science AI strategy into team priorities and delivery plans.
• Own global methodology for model management, observability, testing, and deployment.
• Foster collaboration between consulting, data science, and engineering teams to integrate AI-driven data solutions.
• Oversee the design and implementation of advanced analytics, machine learning, and generative AI/LLM models within the team's scope.
• Ensure development and maintenance of robust, scalable, and efficient data and AI infrastructure supporting team deliverables.
• Collaborate with consulting teams to understand customer requirements and translate them into AI-native, data-driven solutions.
• Work with product and business stakeholders to identify opportunities to apply AI within team engagements.
• Enforce best practices for data quality, security, governance, and responsible AI use.
• Implement and maintain rigorous testing procedures to validate data, ML, and AI model accuracy and reliability.

Benefits

• Medical, dental, vision, and basic life insurance.
• Flexible PTO and company-paid holidays.
• Retirement programs.
• 1% charitable giving program.
• Career progression in a fast-growing global team.
• Potential eligibility for variable bonus and/or stock bonus in addition to base salary.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree