Data Science Manager

Data Science Manager

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 Data Science Manager. Responsibilities, capabilities for success, requirements, and the ideal candidate for this position are provided below.

Responsibilities:

Lead client analytics engagements by…

• Lead planning, analysis, review, and design sessions with a group of senior data scientists
• Assess and challenge existing approaches, suggest alternatives
• Lead a small group of data scientists in design of analytical tests, and in design & implementation of prototypes
• Apply state of the art Artificial Intelligence and Machine Learning techniques
• Prepare and deliver results presentations to both analytical and business executive audiences
• 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
• Lead teams (core delivery team, client teams, or both) in translating business problems faced by clients into analytics solution requirements; building mathematical algorithms and models that provide an analytical framework to analyzing and solving business problems; and developing working knowledge of new analytics models and solution techniques
• Provide client-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
• Lead teams of data scientists, analysts, and software engineers in performing analysis (applying multi-variable, complex statistical analysis on large data sets to gain useful insights into the data, detect trends and outliers/invalid data conditions that exist in data sets) and delivering analytics solutions that are of high quality and scaled to client need in terms of sophistication
• Effectively present analysis, models, results, and insights at the right level of detail to client teams (executive-level to user-level) and Kaizen teams
• Facilitate a critical communications role by interacting with analytics solution users (business domain), core delivery team members (project domain), and development personnel (technical domain)
• Efficiently navigate and lead core delivery team and client (both business and technical domains) through ambiguity of business process, organization change, and detailed requirements
• Provide internal Kaizen teams with thought leadership for brainstorming, developing, delivering, and testing service-oriented software or subscription offerings for targeted clients / industry verticals
• Support sales and business development activities for both existing and new clients
• Contribute to Kaizen’s knowledge capital by drafting 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 5 years of relevant professional experience
  • Master’s degree 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
  • Expertise in two or more of the following areas: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, or other heuristics
• Effective communication (written and verbal); Excellent presentation skills; Mindset of “own it all the way through solution”
• Minimum 3 years of hands-on experience in 2 or more of the following: R, SAS, Python, CPLEX/Gurobi, MATLAB
• Functional Skills: Ability to structure and analyze large data sets; Highly proficient in Microsoft Office applications; Good working knowledge of Data Visualization tools (Tableau and Power BI are preferred)
• Project Management: Ability to manage projects using SDLC (Software Development Life Cycle), PMI, and Agile methodologies
• Ability to travel as dictated by business needs

The ideal candidate will meet or exceed all the above and ideally:

• Possess industry experience in Travel & Hospitality, Media & Entertainment, or Communications
• Have experience with data mining and business reporting
• Be passionate about analytics and helping companies deliver value through analytics