It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Senior Decision Scientist - Retail Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal. Job Description We are looking for a Senior Decision Scientist in Retail, who is proficient with analytics consulting and solving complex business problems in the world of retail, particularly store operations, asset protection, merchandising and strategy. Solve business problems using data-driven models (75%) Take business problem and build structured analytical approaches to solving, inclusive of identifying needed data, analysis required, and strategy for synthesizing and presenting the analysis results Design and build analytical solutions to enable recurring analysis of business performance Effectively scope, size, and plan the development of analytical solutions and set expectations accordingly Translate high level business problems into discrete questions that can be answered by using data-driven models Identify opportunities to improve business performance through use of analytical approaches Translate output of models into recommendations for how the business can operate differently Collaborative Relationships (25%) • Develop and maintain effective working relationships with members of cross-functional teams. • Create a strong partnership with all areas of the organization that require interaction. • Partner with stakeholders to drive implementation of recommendations from analysis • Keep individual, division, and total company goals in mind when making decisions. • Demonstrate and utilize strong communication skills in all interactions.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees