Daniel Sack is a member and Global Recruiting Chair of BCG GAMMA, Boston Consulting Group’s global team of world-class data scientists who build advanced analytics, machine learning, and artificial intelligence solutions for the firm's clients. Dan specializes in the development and application of machine learning/AI use cases within consumer industries, including fast-moving consumer goods (FMCG), retail, travel, and health care. He joined BCG GAMMA in 2016. 

Dan’s recent focus has been on digital end-to-end planning transformations. In his latest engagements, he has led several digital demand planning transformations for FMCG and retail clients, developed and deployed supply chain and marketing optimization algorithms for a multinational retailer, and designed and tested the personalized clinical care management program for a health insurance company. 

Prior to joining BCG, Dan was a Data Scientist and Engagement Manager at Oliver Wyman.

AREAS OF EXPERTISE

  • Applied machine learning
  • Deep learning
  • Data engineering
  • Rapid prototyping
  • Planning transformation
  • Marketing optimization

EDUCATION

  • MBA, Stanford Graduate School of Business
  • BE, mechanical engineering, Dartmouth College
  • BA, summa cum laude, mathematics and physics, Colby College

HONORS AND AWARDS

  • Awarded Marston Morse Prize as highest achieving graduate in mathematics, Colby College

Publications and Videos

How-Fashion-Brands-Retailers-Can-Build-Better-Digital-Capabilities-rectangle.jpg

How Fashion Brands and Retailers Can Build Better Digital Capabilities

Companies that bring technology development in-house will be more adaptive and resilient in the postcrisis period.
Deep Expertise, Broad Experience

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