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Veeva Systems

Builds cloud software for life sciences

Global Data Science Lead

Data ScienceConfirmed live in the last 24 hours
Full-timeBoston, MA, USA

About the Job

Requirements

  • A Ph.D. in Economics, Machine Learning, Applied Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or another quantitative discipline with 5 or more years of relevant industry experience, or an equivalent M.S. with 8 or more years of relevant demonstrable research experience.
  • Experience with the Life Sciences industry and applying analytics and artificial intelligence/machine learning to related data sets.
  • Hands-on experience building or deploying large language model-based systems, such as prompt engineering, retrieval-augmented generation, agentic workflows, or fine-tuning.
  • Advanced, in-depth specialization in data science and artificial intelligence techniques, including classification, pattern recognition, clustering, feature analysis, natural language processing, fuzzy matching, sentiment analysis, A/B testing, and active or adaptive learning.
  • Proven leadership of teams of 10 or more people.
  • Strong problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes, and recommend solutions in situations with non-standard problems.
  • Oral and written communication skills to explain complex technical and artificial intelligence-driven solutions to team members and clients.
  • Comfort with changing requirements and priorities.
  • Ability to be results-oriented and move forward without complete information and with minimal supervision.

Responsibilities

  • Lead the Data Science function within the Global Analytics Team in line with Veeva's Analytics Business Consulting goals.
  • Lead, mentor, and inspire a team of data scientists, artificial intelligence/machine learning engineers, and analysts within the Global Analytics Team.
  • 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 artificial intelligence-driven data solutions.
  • Oversee the design and implementation of advanced analytics, machine learning, and generative artificial intelligence/large language model models within the Global Analytics Team's scope of work.
  • Ensure the development and maintenance of robust, scalable, and efficient data and artificial intelligence infrastructure supporting Global Analytics Team deliverables.
  • Collaborate with cross-functional consulting teams to understand customer business requirements and translate them into AI-native, data-driven solutions.
  • Work with product and business stakeholders to identify opportunities to apply artificial intelligence within Global Analytics Team engagements.
  • Enforce best practices for data quality, security, governance, and responsible artificial intelligence use within the team.
  • Implement and maintain rigorous testing procedures to validate the accuracy and reliability of data, machine learning, and artificial intelligence models.

Desired Qualifications

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

About the Company

Veeva Systems

Builds cloud software for life sciences

Veeva Systems builds cloud software and data products for pharmaceutical, biotechnology and other life sciences companies. Its applications support clinical trials, regulatory submissions, quality management, drug safety and commercial teams that work with healthcare professionals. Teams use the software to organize documents, track records and coordinate regulated work across departments on Veeva's Vault platform. Veeva earns revenue from subscriptions to its software and data products, alongside implementation, consulting and other professional services. Founded in 2007, Veeva Systems is headquartered in Pleasanton, California, United States.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Pleasanton, CA
Founded
2007

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