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Our Platform and SaaS applications are specifically tailored to meet the pricing, sales and commercial needs of B2B manufacturing, distribution, and services companies.

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We take the time to understand each customer’s unique needs, problems, pain points, and desired outcomes while applying more than 20 years of pricing and sales expertise specific to B2B industries.

Set smarter pricing and sales strategies.

Reimagining traditional approaches to pricing, sales and commercial decisions is possible – learning more is the first step on the path to empowering your organization to improve profitable growth. Explore this collection of trends, case studies, in-depth analyses, strategies and tactics to address your most important commercial challenges.

Why Zilliant
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Zilliant helps our customers reimagine how to tackle sales and pricing challenges through smarter software and data science.

Customer Success
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Enabling customer success is our top priority. Learn how we deliver measurable benefit and drive long-term success.

Apr 6, 2021



The primary role of a Zilliant Data Scientist is to effectively configure the scientific models which support Zilliant’s price optimization and predictive modeling solutions.  To do so, the scientist must be comfortable with independent interactions with clients, guiding clients towards Zilliant’s best design practices, and effectively communicating the value of Zilliant’s products. The role also relies heavily on personal accountability for results and a collaborative approach that brings the best of Zilliant to every customer.


Responsibilities Include:


  • Ensure Zilliant’s optimization and predictive models are configured to meet our client’s strategic objectives.
  • Travel to client offices to present scientific concepts and model results to senior executives.
  • Leverage an array of software tools to analyze large client datasets.
  • Working with cross-functional teams within Zilliant on multiple projects


Key Requirements:


  • Advanced Degree in an applied mathematics subject such as Data Science, Operations Research, Industrial Engineering, Statistics or a related discipline.
  • Experience using SQL to analyze large datasets.
  • Experience implementing data science routines in R or Python.
  • Excellent oral and written communication skills
  • Strong presence and confidence in front of executives


Desirable Skills and Experience:


  • Academic or industry exposure to B2B or B2C pricing and revenue optimization.
  • Academic or industry exposure to machine learning methods.
  • Experience using data visualization tools such as Tableau.


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