Data Science Manager

Kaizen Analytix•Atlanta, GA

1d•$70 - $80

About The Position

Manager, Data Science Kaizen Analytix LLC, an analytics services company that gives clients unmatched speed to value through analytics solutions and actionable business insights, is seeking qualified candidates for a Manager of Data Science. Responsibilities, capabilities for success, requirements, and the ideal candidate for this position are provided below.

Requirements

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

Nice To Haves

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

Responsibilities

Lead 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
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