(CAN) Senior Manager, Data Science - Geospatial

Walmart, Inc.

$109K — $150K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in data science with a focus on geospatial models
  • 2+ years of team leadership experience
  • 2+ years of experience engaging with senior leadership and preparing executive presentations
  • Proven ability to implement models into production environments
  • Familiarity with GCP or other cloud platforms

Responsibilities

  • Develop geospatial models for sales predictions and customer behavior analysis
  • Create geospatial modeling tools using GIS software like CARTO
  • Prepare insightful packages for executive presentations at ICRC
  • Collaborate with real estate leadership to identify strategic projects
  • Develop trade area analyses for current and future store locations
  • Conduct advanced analysis of external data sources, including demographics and competitor insights
  • Lead and mentor a team of geospatial analysts while remaining hands-on in model development

Benefits

  • Opportunity to lead and shape a high-performing data science team
  • Engagement in strategic decision-making at an enterprise level
  • Work closely with senior stakeholders across real estate and merchandising
  • Access to advanced GIS tools and cutting-edge data science technologies
  • Exposure to a variety of projects with significant real-world impact
Full Job Description
Position Summary...
The Senior Manager, Data Science- Geospatial leads the strategy, development, and execution of advanced geospatial analytics, data science models, and insights that directly inform enterprise level decisions. This role combines deep geospatial and data science expertise with strong people leadership and business acumen to translate complex spatial data into actionable insights across real estate, market strategy, operations, and merchandising. The role owns end to end delivery of geospatial analytics - from data sourcing and model development through insight storytelling and executive engagement - while building and scaling a high performing team of data scientists, analysts, and GIS specialists. The individual works closely with VP of Real Estate as well as strategy, central ops and merchandizing.

What you'll do...
  • 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


  • 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


The pay range for this position is $109 400,00 - $150 480,00. Pay will be determined based on relevant experience.

L'échelle salariale pour ce poste est de 109 400,00 à 150 480,00. La rémunération sera déterminée en fonction de l'expérience pertinente.


Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Age - 16 or older

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...
1940 Argentia Rd, Mississauga, ON L5N 1P9, Canada

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