Manager, Data ScienceResponsibilities, capabilities for success, requirements, and the ideal candidate for this position are provided below.
ResponsibilitiesLead client analytics engagements - consisting of custom analytics solutions by...
- Managing core delivery teams of Kaizen and non-Kaizen (clients, third parties) resources that possess business, technology, and data science skill sets
- Managing multiple work streams from acquisition and planning through successful delivery
- Solving business problems through excellent decision-making and innovative, strategic ideas
- Implementing solutions in either client or Kaizen environments
Capabilities for SuccessCandidate should demonstrate an ability to...
- Understand business context of analytics solutions: 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 for analyzing and solving business problems; and for 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 needs 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, organizational 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
OR
- 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 firsthand experience in two 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 Automotive, Media & Entertainment, Communications, or Consumer Goods
- Have experience with data mining and business reporting
- Be passionate about analytics and helping companies deliver value through analytics
