Geospatial Data Science Leader for Enterprise Strategy

Walmart

Mississauga

On-site

CAD 109,000 - 150,000

Full time

14 days+

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Job summary

Walmart is seeking a Senior Manager, Data Science - Geospatial to lead the strategy, development, and execution of advanced geospatial analytics, data science models, and insights informing enterprise decisions across real estate, market strategy, operations, and merchandising.

You will own end-to-end delivery from data sourcing and model development to insight storytelling and executive engagement, while building and scaling a high-performing team of data scientists, analysts, and GIS

Qualifications

  • 5+ years in data science, with experience developing geospatial models.
  • 2+ years leading a team
  • 2+ years interacting with senior leadership and creating executive level presentations
  • Experience putting models into production
  • Experience with GCP or other cloud computing platforms

Responsibilities

  • Developing Geospatial Models – Cannibalization, Retention, New Store Sales Predictions and mobile data based models
  • Developing Geospatial Modeling tools using GIS software such as CARTO
  • Developing and preparing insights packages to present at ICRC for new store approvals
  • Collaborating with Real Estate leadership team to align and propose strategic projects including store openings, how to prepare for competitor openings, where we have white space
  • Owning developing of trade areas for existing and potential stores
  • Advanced analytics of external data such as demographics, competitor and survey data
  • Responsible for both hands on development and leading Geospatial Analysts
  • Collaborating with enterprise data science team on broad company initiatives
  • Experience with data governance and storytelling to executives

Job description

Walmart is seeking a Senior Manager, Data Science - Geospatial to lead the strategy, development, and execution of advanced geospatial analytics, data science models, and insights informing enterprise decisions across real estate, market strategy, operations, and merchandising.

You will own end-to-end delivery from data sourcing and model development to insight storytelling and executive engagement, while building and scaling a high-performing team of data scientists, analysts, and GIS

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