Ph.D. or Master's in relevant field (Operations Research, Data Science, etc.)
7+ years of relevant professional experience for Ph.D. or 9+ years for Master's
Expertise in math programming, statistics, and AI-related fields
Proficient in programming languages such as Python, R, and SQL
Excellent communication and presentation skills
Ability to manipulate large data sets effectively
Strong familiarity with data visualization and Agile methodologies
Responsibilities
Coordinate client analytics engagements using both Kaizen and external resources
Oversee delivery teams and guide project workstream leaders
Innovate and solve complex business problems
Implement analytics solutions in client or Kaizen platforms
Present insights to clients and internal leadership
Facilitate teamwork between client and Kaizen teams
Supervise the development of Kaizen's proprietary analytics solutions
Benefits
Opportunity to contribute to high-impact analytics solutions
Engage with diverse teams across various industry verticals
Access to professional development and thought leadership opportunities
Participate in group leadership and collaborative environments
Contribute to industry knowledge through articles and presentations
Full Job Description
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
