VP of Data Science

Location: Atlanta, GA

• 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

• 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

• 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