The Role
Lead and coordinate multiple client analytics engagements, oversee delivery teams and workstream leaders, and drive complex statistical and optimization modeling (LP, MIP, discrete optimization). Provide thought leadership, develop and supervise proprietary solution libraries, present high-level insights to clients and executives, support sales and business development, and contribute to group leadership and knowledge sharing.
Summary Generated by Built In
Original Post Date: 4/3/2026
VP of Data Science
Kaizen Analytix LLC, an analytics products and services company that gives clients unmatched speed to value through analytics solutions and actionable business insights, is seeking qualified candidates for a VP of Data Science. Responsibilities, capabilities for success, requirements, and the ideal candidate for this position are provided below.
Responsibilities:
Coordinate multiple client analytics engagements – consisting of both custom and packaged analytics solutions by…
Capabilities for Success:
Candidate should demonstrate an ability to…
Job Requirements:
VP of Data Science
Kaizen Analytix LLC, an analytics products and services company that gives clients unmatched speed to value through analytics solutions and actionable business insights, is seeking qualified candidates for a VP of Data Science. Responsibilities, capabilities for success, requirements, and the ideal candidate for this position are provided below.
Responsibilities:
Coordinate multiple client analytics engagements – consisting of both custom and packaged analytics solutions by…
- Overseeing core delivery teams of Kaizen and non-Kaizen (clients, third parties) resources that possess business, technology, and data science skill sets
- Guiding project workstream leaders
- Solving business problems through excellent decision-making and innovative, strategic ideas
- Implementing solutions in either client or Kaizen environments
Capabilities for Success:
Candidate should demonstrate an ability to…
- Understand business context of analytics solution: Current state, problem, goals/objectives and their business value, obstacles, and impacted client constituents
- Coordinate teams of analysts/data scientists/software engineers in performing and implementing high quality, sophisticated analysis in support of client engagements and internal projects
- Provide thought leadership and guidance for multi-variable, complex statistical analysis and mathematical programming algorithms like linear programming, MIP, discrete optimization etc.
- Present high-level insights to client teams (project leadership to executive-level) and Kaizen leadership
- Facilitate and foster interaction between client and Kaizen teams
- Supervise contributions to the KA proprietary solution library – KaizenValueAccelerators (KVAs) and suggest new capabilities in terms of mathematical models, solution frameworks, etc.
- Provide internal Kaizen teams with thought leadership for brainstorming, developing, delivering, and testing service-oriented software or subscription offerings for targeted clients / industry verticals
- Continously enhance working knowledge of new models and solution techniques which could be leveraged across projects, look for cross-industry applicability
- Efficiently coordinate delivery team and client leadership (both business and technical domains) through ambiguity of business process, organization change, and detailed requirements
- Provide industry-specific thought leadership for defining modeling and measurement techniques and utilizing mathematics, statistical methods, engineering methods, operational mathematical techniques to estimate benefits from using analytical models
- Support sales and business development activities for both existing and new clients
- Participate in group leadership, provide leadership for a part of the overall group including all administrative tasks required
- Contribute to Kaizen’s knowledge capital by writing articles and presenting at industry conferences
Job Requirements:
- Education and Experience
- Ph.D. in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 7 years of relevant professional experience, OR
- Master’s degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 9 years of relevant professional experience
- Expertise in three or more of the following areas: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, or other heuristics
- Excellent written and verbal communication and presentation skills
- Thorough understanding of all and a minimum of 5 years of expert level experience in four or more of the following: Python, R, SAS, SQL, GLPK, CPLEX, Gurobi, MATLAB
- Highly proficient in all Microsoft Office applications
- Ability to structure and analyze large data sets
- Thorough understanding of Data Visualization tools (Tableau and Power BI preferred)
- Through understanding of Agile project management methodology
- Ability to travel as dictated by business needs
Skills Required
- Ph.D. in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or related applied mathematical discipline with at least 7 years relevant experience, OR Master's in same fields with at least 9 years relevant experience
- Expertise in three or more of: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, other heuristics
- Excellent written and verbal communication and presentation skills
- Minimum of 5 years of expert-level experience in four or more of: Python, R, SAS, SQL, GLPK, CPLEX, Gurobi, MATLAB
- Highly proficient in all Microsoft Office applications
- Ability to structure and analyze large data sets
- Thorough understanding of data visualization tools
- Tableau and Power BI
- Thorough understanding of Agile project management methodology
- Ability to travel as dictated by business needs
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The Company
What We Do
Kaizen is an insights, data, and consulting products and services company that provides clients unmatched speed to achieving business objectives. Working from client and industry data, Kaizen combines its advanced analytics solutions and secure suite of API data from KaizenDataLabs™, with decades of proven subject matter expertise to deliver actionable and accessible insights across the value chain. For more information, visit http://www.kaizenanalytix.com, or email us at [email protected] Looking to join the team? Check out the careers page on our website for job listings, or email us at [email protected]
