VP of Data Science

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…

• 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