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Global Data Science Lead
Posted by Veeva Systems on 15 October 2026. Still on their Lever board when we checked 28 min ago. Half of Veeva Systems's roles come down within 407 days.
What the posting is about
Lead a team of data scientists and AI/ML engineers to apply advanced analytics and machine learning to life sciences data. Collaborate with global analytics leadership to execute data science AI strategy.
Read out of the posting
LevelNot stated
Experience asked5+ years
EmploymentFull time
LocationMassachusetts - Boston
RemoteYes
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-10-15
Found vialever, direct from their system
We saw it 23 hours after it went up.
The posting, as the company wrote it
Veeva is building the industry cloud for Life Sciences through software, data, AI, and business consulting working together. Learn more about our products, vision, values, and status as a Public Benefit Corporation (PBC) on our website.
Consulting is changing, and we’re not like other firms. Launched in 2019, Veeva Business Consulting has grown quickly and organically to over 500 global experts who combine deep domain knowledge with innovative technology to help Life Sciences companies work in a more efficient and connected way.
We are growing aggressively as we look towards 2030. We are seeking great people to help shape the future of the industry with the world’s leading software, data, AI, and expertise at their back.
The Role
The Global Analytics Business Consulting Team applies data science and AI to help customers turn commercial, medical, and regulatory data into action. We are seeking a Global Data Science Lead that will support execution of the Data Science AI strategy within this team. This role will lead a group of data scientists, AI/ML engineers, and analysts, and partners with Global Analytics leadership to turn strategy into delivery — applying advanced analytics, machine learning, and generative AI/LLM techniques to life sciences data.
Copied from Veeva Systems’s own board, not rewritten. Original ↗
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