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
.

Coordinate multiple client analytics engagements – consisting of both custom and packaged analytics solutions.

• 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.

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 – Kaizen Value Accelerators  (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.