Lee Tanenbaum

Go-getter
DISC Type : d

VP - Data Science and Machine Learning at Anheuser-Busch

New York, New York, United States

Overview

Lee Tanenbaum is the VP of Data Science and Machine Learning at Anheuser-Busch InBev, leading teams that deploy ML solutions from design to production. His background includes roles at PepsiCo and Facebook, and he holds degrees from New York University and Stanford University.

He is passionate about education in his field, teaching machine learning at Columbia University and authoring an extensive blog with learning paths for analysts, engineers, and business users. He also mentors for MITs Applied Data Science program, demonstrating a deep commitment to developing talent.

Unique fact: Lee is a co-inventor on a patent for an autonomous vehicle equipped with an extracorporeal blood treatment (dialysis) machine.

Personality Overview

Fast-Paced

Challenger

Self-Confident

They focus on objectivity in a pitch and pay little attention to bells and whistles.  They don’t always try to control the conversation but neither do they like yielding it fully. They can be nudged to make faster decisions by offering what they value.

Topics They Care About

Data Science Education
Teaches at Columbia Engineering, mentors for an MIT program, and runs a blog with dedicated series for engineers and data scientists to learn modern machine learning.
ML for Commerce
Focuses on applying ML to business problems like commercial optimization, having improved investment efficiencies by 19% in a previous project at Anheuser-Busch.
Causal Inference
His team at Anheuser-Busch addresses core causal inference problems to automate decisions in the consumer products industry, showing an interest in understanding root causes.

Media Appearances

Lee has no verified media appearances

Work History

1-2025
VP - Data Science and Machine Learning at Anheuser-Busch
10-2020 - 1-2025
Global Director of Data Science and Analytics at Anheuser-Busch InBev
6-2020 - 10-2020
Machine Learning Engineer at HyperCube
11-2019 - 5-2020
Machine Learning Software Engineer at Facebook
1-2019 - 1-2020
Lecturer at Columbia Engineering

Education

2016 - 2018
Master’s Degree from New York University
2013 - 2015
Graduate Certificate from Stanford University

More Information

Social Presence :

Prographics :

Exp : 15 Location : New York, New York, United States Job Level : Senior Designation : VP - Data Science and Machine Learning at Anheuser-Busch
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Insights For Selling To Lee

During A Call Or A Meeting

DO's

  • Make sure that you you respond to any queries from them quickly
  • Refer to testimonials from others in similar positions
  • Be crisp while making the pitch

DONT's

  • Don't try too hard to get friendly, let it happen with time
  • Refrain from asking too many questions
  • Avoid repeating yourself or making generalizations

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Lee is

  • Confidence in the product plays an important role, followed by powerful testimonials.
  • Will you ever get a clear answer from Lee

  • They might hesitate a little, but they will say no if they are not convinced.

Insights For Deal Planning

    How fast (or slow) will Lee move?

  • They are neither the fastest decision makers nor the slowest.
  • Can Lee take some risk or not?

  • Once they have analyzed the pros and cons, they can take some risks.

You And Lee

Personality Compatibility


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