(CAN) Senior Manager, Data Science - Geospatial
- Mississauga, ON, Canada
The pay range for this position is $109 400,00 - $150 480,00. · Full-time
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Job details
- Pay
- The pay range for this position is $109 400,00 - $150 480,00.
- Job type
- Full-time
- Experience
- 5+ years in data science, with experience developing geospatial models
- Posting language
- English
- Posted
Original 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
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.ㅤ
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Age - 16 or olderPreferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Walmart will accommodate the disability-related needs of applicants and associates as required by law.
Primary Location…
1940 Argentia Rd, Mississauga, ON L5N 1P9, CanadaAre you currently a Walmart associate?
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More about this job
Responsibilities
The Senior Manager leads the strategy and execution of geospatial analytics and data science models to inform enterprise-level decisions. They are responsible for building and scaling a high-performing team while collaborating with real estate and operations leadership.
Requirements
Candidates must have at least 5 years of experience in data science with a focus on geospatial modeling and 2 years of team leadership. Experience with cloud platforms like GCP and presenting to senior leadership is also required.
Skills
- Geospatial analytics
- Data science
- GIS software
- CARTO
- GCP
- Cloud computing
- Predictive modeling
- People leadership
- Strategic planning
- Real estate analytics
- Market strategy
- Data visualization
- Executive presentation
- Trade area development
- Statistical modeling
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Management & Leadership
- Retail
- Technology
- Science & Research
Keywords
- Geospatial
- Data Science
- GIS
- CARTO
- GCP
- Cloud Computing
- Cannibalization Modeling
- Retention Modeling
- Predictive Analytics
- Real Estate
- Market Strategy
- Demographics
- Trade Areas
- Retail
- Leadership
- Strategy
- Operations
- Merchandising
- Data Modeling
- Executive Engagement