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Senior Data Scientist

Company Name: Precima
Location: Toronto, ON
Date Posted: 15th Nov, 2017
Description:

Responsibilities:

  • Implement advanced machine learning techniques and statistical and econometric models to pricing, assortment and marketing mix. Provide analytical consulting on best practices and approaches.
  • Interpret, document and present/communicate analytical results to multiple business disciplines, providing conclusions and recommendations based on customer-centric data. Be an internal expert in advanced capabilities.
  • Work closely with client teams to develop methodology and implement analysis and technology that enables more profitable pricing, assortment and marketing/promotion decisions in support of partner customer strategies.
  • Take analytical objectives and define data requirements. Extract, clean, and transform customer and item-level data for purposes of analysis, modeling/segmentation and reporting
  • Identify, develop and make recommendations for process improvements and best practices; own implementation of recommendations required.
  • Take analytical objectives and define data requirements. Extract, clean, and transform customer and item-level data for purposes of analysis, modeling/segmentation and reporting
  • Identify, develop and make recommendations for process improvements and best practices; own implementation of recommendations required
  • Execute on Precima’s engagement with Clients, delivering on our commitments and assisting the client to understand and derive the most value out of Precima-provided initiatives and tools.
  • Continually support a strategic viewpoint as subject matter experts vs. data support to client.

 

 

Qualification:

Qualifications:

  • Masters (PhD highly desirable) in Statistics, Operations Research, Mathematics, Economics, Econometrics, Industrial Engineering, Computer Science
  • Proficiency in developing original statistical and econometric models in pricing, assortment and marketing mix to support clients in B2B, Retail and CPG areas.
  • Strong experience on SQL, SAS / Python / R.
  • Proficiency in implementing models using Python or R.