Toronto, On Geospatial data science Jobs – 27 Openings This Week

Junior Data Scientist
Cushman & Wakefield —Toronto, ON
- $114,750–$135,000 a year
- Full-time
- Azure
- Doctoral degree
- BLS Certification
- Disability insurance
- Dental care
Quick apply
Geospatial & BIM Information Specialist
WSP —Toronto, ON
- Civil engineering
- Engineering
- Quality Control
5d
Specialist, Data
Definity Financial Corporation —Toronto, ON
- $59,000–$108,600 a year
- Full-time
- Hybrid work
- Computer Science
- Java
- SQL
- Tuition reimbursement
- Paid time off
9d
Manager, Data Science & Analytics
Public Health Ontario —Toronto, ON
- $103,157–$128,973 a year
- Full-time
- Azure
- Master's degree
- Project management
13d
DATA ANALYST & INTEGRATOR
City of Toronto —Toronto, ON
- $44.64–$48.88 an hour
- Full-time
- Oracle
- Databases
- SQL
1d
Senior Analyst, Actuarial (Strategic Risk)
Definity Financial Corporation —Toronto, ON
- $92,000–$142,000 a year
- Full-time
- Hybrid work
- Analysis skills
- Presentation skills
- Bachelor's
- Tuition reimbursement
- Paid time off
Senior Full-Stack Developer
Teranet —Toronto, ON
- $120,000–$143,000 a year
- Full-time
- Azure
- Oracle
- Computer Science
- Employee assistance program
Data Science Manager
Vistar Analytics —Toronto, ON
- $150,000–$250,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
- Dental care
Quick apply
2d
GIS Business Solutions Analyst
City of Markham —Markham, ON
- $90,715–$114,948 a year
- Full-time
- Computer Science
- SQL
- Bachelor's
Quick apply
12d
Senior Data Scientist (I & II)
Instacart —Toronto, ON
- $161,000–$202,500 a year
- Remote
- Doctoral degree
- Master's degree
- SQL
Quick apply
Senior Advanced Drone Operator (RPAS & Reality Capture)
WSP —Toronto, ON
- $81,900–$118,900 a year
- Microsoft Excel
- Engineering
- Analysis skills
5d
Senior Insights Analyst
407 ETR —Woodbridge, ON
- $100,000–$135,000 a year
- Full-time
- Computer science
- Engineering
- Research
Data Scientist, Analytics (Remote, Canada)
Zesty.ai —Toronto, ON
- Remote
- Doctoral degree
- Computer Science
- Engineering
- Paid time off
Quick apply
2d
Senior Data Scientist II - Core Delivery
Instacart —Toronto, ON
- $192,000–$202,500 a year
- Remote
- Doctoral degree
- Master's degree
- SQL
Quick apply
Lead, Analytics Engineering
Avison Young Canada —Toronto, ON
- $130,000–$160,000 a year
- Full-time
- Engineering
- SQL
- Presentation skills
Navigation Engineer
Trimble —Richmond Hill, ON
- Full-time
- Doctoral degree
- Engineering
- C++
Integration Specialist / Developer
Spatial DNA —Toronto, ON
- $80,000–$125,000 a year
- Full-time
- Azure
- Oracle
- Doctoral degree
- Profit sharing
- Disability insurance
Quick apply
RQ00702 - Sr. Business Analyst
Source Code —Toronto, ON
- $69.76–$83.71 an hour
- Full-time
- Computer Science
- Bachelor's
- Business
Quick apply
Hydroinformatics Engineer
Xylem —Toronto, ON
- $100,000–$135,000 a year
- Full-time
- Engineering
- English
- Bachelor's
- Dental care
- Paid time off
Senior Data Scientist - Computer Vision (Remote, Canada)
Zesty.ai —Toronto, ON
- Remote
- Doctoral degree
- Computer Science
- Engineering
- Paid time off
Quick apply
13d

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geospatial data science jobs near toronto, on

Junior Data Scientist

Cushman & Wakefield -
Toronto, ON

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Job details

Full-time
$114,750–$135,000 a year

Qualifications

ArcGIS
Economics
Azure
Doctoral degree
QGIS
BLS Certification
R
Research
Master's degree
SQL
AWS
Bachelor's
Python
Data Science
GIS

Full job description

Job Title

Junior Data Scientist

Job Description Summary

This role sits at the intersection of real estate economics, urban analysis, and data science. The Junior Data Scientist will support the development and evolution of Cushman and Wakefield Quantitative Insight Group’s (QIG) analytical capabilities by producing rigorous, insight-driven work on commercial real estate markets across the Americas. This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban planner, and who brings the technical skills to build and operate the data infrastructure their own work requires.

This is not primarily an engineering role, though the ideal candidate will possess data engineering knowledge, skills, and abilities. The Analyst will spend most of their time doing substantive analytical and research work: synthesizing complex datasets, identifying market patterns and anomalies, and producing outputs that inform Cushman & Wakefield’s House View, including elements that are unique to QIG, and related analytical products for key clients. At the same time, the candidate should be comfortable constructing and maintaining data pipelines, working fluently in Python and/or R and SQL, and collaborating closely with Technology & Data Solutions (TDS) as a knowledgeable and credible partner.

Job Description

Key Responsibilities

Real Estate & Urban Economic Analysis (45%)

Conduct rigorous quantitative analysis on commercial real estate markets, synthesizing property, macroeconomic, and urban data to surface market trends, structural shifts, and investment-relevant insights.

Apply econometric and statistical methods (time series modeling, regression, spatial econometrics, or similar) to real estate and labor market questions in support of QIG research products.

Integrate geospatial data and methods into analytical workflows: working with Census geographies, parcel data, land use classifications, walkability or transit metrics, demographic overlays, and similar inputs to enrich market analysis.

Contribute to the development of novel datasets and indicators that advance QIG's analytical edge, including working closely with the Head of Data Science & Geospatial Analytics to specify and build integrated data products combining proprietary CRE data with public and third-party sources.

Support the QIG team on ad hoc analytical requests from Americas Research, the Global Think Tank, and senior stakeholders, producing clean, well-documented, and reproducible outputs.

Data Engineering & Pipeline Maintenance (35%)

Build and maintain automated data pipelines for ingesting, transforming, and storing CRE and macroeconomic datasets used in analytical models and reoccurring analysis.

Ensure data integrity and consistency across QIG inputs and outputs through validation, quality control procedures, and structured data interfaces.

Perform exploratory data analysis and profiling on raw and processed datasets to validate pipeline outputs and identify anomalies or inconsistencies.

Partner with PRI (Property Research & Intelligence), TDS (Technology & Data Solutions), and the GIS team to ensure governance of time series and geospatial data, particularly as geography-based competitive sets evolve.

Serve as a knowledgeable liaison to TDS: translating analytical requirements into engineering specifications, tracking the status of data requests in the TDS backlog, and validating outputs against analytical expectations.

Documentation, Integration & Infrastructure (20%)

Develop and maintain internal documentation covering data sources, model architecture, data flows, and diagnostic procedures, with attention to field-level lineage and traceability.

Serve as the team's subject matter expert on integration and processing of internal, third-party vendor, and public datasets (e.g., Census TIGER, IPUMS, LODES, NLCD, Overture Maps), and advise on cleaning, normalization, and appropriate analytical applications.

Monitor the evolution of third-party data products; assess their fit against QIG analytical requirements and produce intake specifications when new sources are approved for integration.

Support the adoption of emerging analytical technologies (including ML/AI methods and advanced data infrastructure patterns) through hands-on prototyping and coordination with TDS where appropriate.

Qualifications

Bachelor’s degree in Economics, Data Science, Real Estate, Applied Economics, Geography, Urban Planning or any closely related field with quantitative emphasis. A master’s degree is preferred and a doctoral degree is a plus.

2 to 6 years of experience in a research, analytical, or data science role, preferably in a real estate, urban policy, planning, or economic research context.

Strong command of quantitative methods: regression, time series analysis, spatial econometrics, or comparable approaches applied to real estate or urban economic questions.

Working knowledge of geospatial data and methods: experience with GIS tools (ArcGIS, QGIS, or programmatic approaches via R or Python), familiarity with spatial data formats and concepts, and comfort integrating geographic context into analysis.

Proficiency in Python and/or R for data analysis, modeling, and pipeline construction; working knowledge of SQL. Familiarity with cloud platforms (Azure, AWS) and version control is a plus.

Experience working with public datasets commonly used in urban and real estate research: Census products (ACS, TIGER, LODES), BLS, IPUMS, or similar.

Ability to produce clean, well-documented, reproducible analytical work and communicate findings clearly to both technical and non-technical audiences.

Comfortable operating in a cross-functional environment, working both independently and alongside engineering and research teams on iterative deliverables.

Genuine intellectual interest in urban economics, commercial real estate markets, and the spatial dimensions of economic activity.

Comfortability in communicating analysis, methods and related topics with related teams and immediate management.

Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.

The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate’s experience and qualifications.

The company will not pay less than minimum wage for this role.

The compensation for the position is: $ 114,750.00 - $135,000.00

Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.

In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or email [email protected]. Please refer to the job title and job location when you contact us.

INCO: “Cushman & Wakefield”

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Refine Your Search

geospatial data science jobs in toronto, on

Junior Data Scientist

Geospatial & BIM Information Specialist

Specialist, Data

Manager, Data Science & Analytics

DATA ANALYST & INTEGRATOR

Senior Analyst, Actuarial (Strategic Risk)

Senior Full-Stack Developer

Data Science Manager

GIS Business Solutions Analyst

Senior Data Scientist (I & II)

Senior Advanced Drone Operator (RPAS & Reality Capture)

Senior Insights Analyst

Data Scientist, Analytics (Remote, Canada)

Senior Data Scientist II - Core Delivery

Lead, Analytics Engineering

Navigation Engineer

Integration Specialist / Developer

RQ00702 - Sr. Business Analyst

Hydroinformatics Engineer

Senior Data Scientist - Computer Vision (Remote, Canada)

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