Posted 9 days ago
Senior Data Analytical Specialist/Scientist
@ Randstad Canada
Toronto, Ontario
SIGNALS
Overview
Randstad Canada is hiring a Senior Data Analytical Specialist/Scientist on an 11-month contract in Toronto, fully onsite five days a week. The role leads end-to-end analytics work, from sourcing and cleaning data to building machine learning models, deploying them with .NET and Azure, and presenting insights to stakeholders.
Responsibilities:
- Lead end-to-end analytics and predictive model deployment
- Source and transform complex, high-volume datasets
- Build and deploy ML and deep learning models
- Develop custom Web APIs and cloud services on Azure and AWS
- Present findings to technical and non-technical stakeholders
Requirements summary:
- 5+ years in enterprise cloud environments (Azure, AWS)
- 5+ years with big data frameworks
- Advanced SQL and data manipulation skills
- Experience with TensorFlow or PyTorch model deployment
- .NET Core, ASP.NET and CI/CD experience
- Agile delivery with Kanban
Tools & skills
Source and dates
Employer career site / ATS feed · careerpage
- Employer posting date
- 2026-10-29
- First seen by our source
- 2026-10-29
- Source record updated
- 2026-10-29
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 5+ years |
| Schedule | day |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Encouraged to apply | Women, Indigenous peoples, People with disabilities, Racialized people, 2SLGBTQ+ |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Randstad Canada
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
partner for talent.
Full company description
As the Canadian leader in recruitment and HR, and one of Canada’s best places to work, we have a uniquely human approach to work. We deliver HR innovation with human interaction at its core. At the unique intersection of technology and humanity, we deliver data-driven insights coupled with a people-first experience that is inherently human. Human Forward. Learn more at www.randstad.ca.
- LinkedIn followers
- 455,966
- People associated on LinkedIn
- 1,207
- Reported office locations
- 777 Bay Street, Suite 2000, PO Box 128, Toronto, ON M5G 2C8, CA
- 525 Avenue Viger Ouest, Suite 501, Montréal, Quebec H2Z 1G6, CA
- 4295 King St E, Suite 401, Kitchener, Ontario N2P 0C6, CA
- 311 6 Ave SW, Intact Place, East Tower, Suite 1640, Calgary, AB T2P 3H2, CA
- 6345 Dixie Rd, Suite 6, Mississauga, ON L5T 2E6, CA
- 244 Pall Mall St, Suite 400, London, ON N6A 5P6, CA
- 4 Cedar Pointe Dr, Unit D, Barrie, Ontario L4N 5R7, CA
- 2456 Queen St E, Unit 201, Brampton, Ontario L6S 5X9, CA
- 10 Stanley St, Suite 4A, Brantford, Ontario N3S 7N4, CA
- 7055 Boulevard Taschereau, Suite 100, Brossard, Quebec J4Z 1A7, CA
- 1100 Walkers Line, Suite 105, Burlington, Ontario L7N 2G3, CA
- 10655 Southport Rd SW, Suite 1200, Calgary, Alberta T2W 4Y1, CA
- 495 36 St NE, Suite 140, Calgary, Alberta T2A 6K3, CA
- 321 6 Ave SW, Suite W940 (West Tower), Calgary, Alberta T2P 0B2, CA
- 415 Hespeler Rd, Unit 3A, Cambridge, Ontario N1R 6J1, CA
- 6001 60 Ave, Delta, British Columbia V4K 4E2, CA
- 787 Rue St-Pierre, Suite 303, Drummondville, Quebec J2C 3X2, CA
- 10025 102A Ave NW, Suite 1902, Edmonton, Alberta T5J 2Z2, CA
- 2305 111 St NW, Edmonton, Alberta T6J 5E5, CA
- 5 Boulevard Mountain, Granby, Quebec J2G 9M5, CA
- 450 Speedvale Ave W, Unit 103, Guelph, Ontario N1H 7Y6, CA
- 1809 Barrington St, CIBC Building, Unit 501, Halifax, Nova Scotia B3J 3K8, CA
- 275 James St N, Unit 2, Hamilton, Ontario L8R 2L4, CA
- 7655 Boulevard Newman, Suite 75, Montreal, Quebec H8N 1X7, CA
- 2530 Boulevard Daniel-Johnson, Laval, Quebec H7T 2R3, CA
- 2528 Boulevard Daniel-Johnson, Laval, Quebec H7T 2R3, CA
- 5410 Boulevard Guillaume-Couture, Suite 84, Lévis, Quebec G6V 4Z2, CA
- 460 Rue St-Charles O, Suite A, Longueuil, Quebec J4Z 1A7, CA
- 80 Tiverton Ct, Suite 400, Markham, Ontario L3R 0G4, CA
- 7357 Woodbine Ave, Suite 2, Markham, Ontario L3R 1A7, CA
- 4080 Confederation Pkwy, Suite 501, Mississauga, Ontario L5B 0G1, CA
- 6345 Dixie Rd, Suite 6, Mississauga, Ontario L5T 2E6, CA
- 809 Columbia St, New Westminster, British Columbia V3M 1B9, CA
- 20 York Mills Rd, Unit 208, Toronto, Ontario M2P 2C2, CA
- 1600 Carling Ave, Suite 410, Ottawa, Ontario K1Z 1G3, CA
- 2222 Carling Ave, Suite 2, Ottawa, Ontario K2A 1H3, CA
- 4810 Boul Saint-Jean, Montréal, Quebec H9H 4B2, CA
- 755 Boulevard Saint-Jean, Suite 130, Pointe-Claire, Quebec H9R 5M9, CA
- 815 Boulevard Lebourgneuf, Suite 201, Québec, Québec G2J 0C1, CA
- 2010 11th Ave, 7th Floor, Regina, Saskatchewan S4P 0J3, CA
- 208 Boulevard du Curé-Labelle, Sainte-Thérèse, Quebec J7E 2X7, CA
- 3500 Boulevard de la Côte-Vertu, Suite 175, Saint-Laurent, Quebec H4R 2X7, CA
- 6335 Rue Jean-Talon Est, Saint-Léonard, Quebec H1S 3E7, CA
- 310 Wall St, Saskatoon, Saskatchewan S7K 1N7, CA
- 124 Rue Wellington Nord, Suite 300, Sherbrooke, Quebec J1H 5X8, CA
- 701 W Georgia St, Suite 200, Vancouver, British Columbia V7Y 1C6, CA
- 730 View St, Suite 420, Victoria, British Columbia V8W 3Y7, CA
- 100 Regina St S, Suite 140, Waterloo, Ontario N2J 4P9, CA
- 114 Dundas St E, Unit 103, Whitby, Ontario L1N 2H7, CA
- 245 Portage Ave, Winnipeg, Manitoba, CA
- 1 Lombard Pl, Suite 1535, Winnipeg, Manitoba R3B 0X3, CA
- 386 Boulevard Charest E, Quebec, QC G1K 3H4, CA
- Other recorded names
- Randstad Canada
- Specialties
- HR Consulting
- IT Recruitment
- Engineering Recruitment
- Staffing and HR
- HR Services
- Recruitment
- HR Outsourcing
- Temporary Hiring
- Permanent Hiring
- Recruiting
- Permanent Jobs
- Temp Jobs
- Hiring Strategy
- Human Resources
- Staffing
- Finding Jobs
- Employer Branding
- Jobs
- and Contract Jobs
- Profile identifies a recruitment agency
- Yes
As the Canadian leader in recruitment and HR, and one of Canada’s best places to work, we have a uniquely human approach to work. We deliver HR innovation with human interaction at its core. At the unique intersection of technology and humanity, we deliver data-driven insights coupled with a people-first experience that is inherently human. Human Forward. Learn more at www.randstad.ca.
| Field | Value |
|---|---|
| Industry | Staffing and Recruiting |
| Company size | 501-1,000 employees |
| Headquarters | Toronto, ON |
| Organization type | Public Company |
| Year founded | 1997 |
| Specialties | HR ConsultingIT RecruitmentEngineering RecruitmentStaffing and HRHR ServicesRecruitmentHR OutsourcingTemporary HiringPermanent HiringRecruiting |
| Open jobs on Jobsy | 9,437 |
| View page |
Job description
We are seeking an experienced Senior Data Analytical Specialist/Scientist to lead the development and delivery of advanced analytics, machine learning solutions, and data pipelines that drive evidence-based decision-making. In this role, you will be responsible for sourcing, cleaning, and transforming complex, unstructured datasets from diverse channels, and building robust statistical models and deep learning algorithms. Combining data science with cloud architecture and software engineering practices, you will develop custom APIs, deploy predictive models into production environments, and collaborate closely with cross-functional stakeholders to translate complex quantitative findings into clear, actionable business insights.
Location: Toronto, ON (Fully Onsite – 5 days/week required)
Duration: 11-month contract.
Advantages
End-to-End Analytics Scope: Lead full-lifecycle data science from data engineering to predictive model deployment.
Modern Hybrid Tech Stack: Hands-on work combining machine learning frameworks with .NET Core and Azure cloud architectures.
High-Impact Insights: Translate complex analytical findings directly into strategic decision-making.
Collaborative Onsite Environment: Partner closely with data architects, developers, and leadership in a dedicated Toronto workspace.
Responsibilities
Lead the end-to-end design, development, and delivery of advanced analytics initiatives, statistical models, and reporting datasets.
Source, clean, transform, and structure complex, high-volume datasets from structured and unstructured sources across multiple channels.
Train, test, evaluate, and deploy predictive models, classification algorithms, and deep learning solutions using frameworks such as TensorFlow or PyTorch.
Query, manipulate, and optimize large relational and multi-dimensional databases using advanced SQL.
Build, deploy, and maintain custom Web APIs, backend data-access components, and cloud services using ASP.NET, .NET Core, Entity Framework, and Azure SQL.
Implement and support automated CI/CD pipelines, containerization, and deployment workflows within modern cloud environments (Azure and AWS).
Work with big data frameworks and distributed processing platforms to support scalable data extraction, transformation, and ingestion.
Translate complex quantitative analysis, statistical inferences, and model predictions into clear visual dashboards, summaries, and executive presentations.
Collaborate closely with data architects, ETL developers, product owners, and business leaders to identify analytical requirements and deliver tailored solutions.
Participate in Agile delivery processes, tracking progress and managing backlogs using Kanban and task boards.
Qualifications
Data Manipulation & Advanced SQL: Demonstrated proficiency in coding and data manipulation, alongside advanced SQL for querying and managing large-scale relational databases (Strictly Required).
Data Sourcing & Transformation: Proven ability to source, clean, transform, and structure messy or unstructured datasets from multiple channels (Strictly Required).
Cloud Environments: 5+ years of hands-on experience working within enterprise cloud environments (Azure, AWS) across SaaS, PaaS, and IaaS models (Strictly Required).
Big Data Frameworks: 5+ years of practical experience working with big data architectures and distributed data frameworks (Strictly Required).
Machine Learning & Deep Learning: Demonstrated experience training, testing, and deploying predictive algorithms, classification models, and deep learning frameworks (such as TensorFlow or PyTorch) (Strictly Required).
.NET & Cloud API Engineering: Hands-on experience with custom Web API development, ASP.NET, .NET Core, Entity Framework, Azure SQL, DevOps, and CI/CD pipelines (Strictly Required).
Agile Delivery: Proven experience working in Agile delivery environments, including Kanban and task-board management (Strictly Required).
Communication & Visualization: Strong verbal and written communication skills to prepare technical reports, document designs, and communicate quantitative findings to both technical and non-technical stakeholders (Strictly Required).
Nice-to-Have Assets:
Prior data science or analytics experience supporting large-scale enterprise or public sector systems.
Experience with additional analytical software and programming languages (e.g., Python, R, SAS).
Experience designing intuitive business intelligence visualizations and interactive dashboards.
Summary
If you're interested in the "Senior Data Analytical Specialist/Scientist" role based in Toronto, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [email protected] to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
Location: Toronto, ON (Fully Onsite – 5 days/week required)
Duration: 11-month contract.
Advantages
End-to-End Analytics Scope: Lead full-lifecycle data science from data engineering to predictive model deployment.
Modern Hybrid Tech Stack: Hands-on work combining machine learning frameworks with .NET Core and Azure cloud architectures.
High-Impact Insights: Translate complex analytical findings directly into strategic decision-making.
Collaborative Onsite Environment: Partner closely with data architects, developers, and leadership in a dedicated Toronto workspace.
Responsibilities
Lead the end-to-end design, development, and delivery of advanced analytics initiatives, statistical models, and reporting datasets.
Source, clean, transform, and structure complex, high-volume datasets from structured and unstructured sources across multiple channels.
Train, test, evaluate, and deploy predictive models, classification algorithms, and deep learning solutions using frameworks such as TensorFlow or PyTorch.
Query, manipulate, and optimize large relational and multi-dimensional databases using advanced SQL.
Build, deploy, and maintain custom Web APIs, backend data-access components, and cloud services using ASP.NET, .NET Core, Entity Framework, and Azure SQL.
Implement and support automated CI/CD pipelines, containerization, and deployment workflows within modern cloud environments (Azure and AWS).
Work with big data frameworks and distributed processing platforms to support scalable data extraction, transformation, and ingestion.
Translate complex quantitative analysis, statistical inferences, and model predictions into clear visual dashboards, summaries, and executive presentations.
Collaborate closely with data architects, ETL developers, product owners, and business leaders to identify analytical requirements and deliver tailored solutions.
Participate in Agile delivery processes, tracking progress and managing backlogs using Kanban and task boards.
Qualifications
Data Manipulation & Advanced SQL: Demonstrated proficiency in coding and data manipulation, alongside advanced SQL for querying and managing large-scale relational databases (Strictly Required).
Data Sourcing & Transformation: Proven ability to source, clean, transform, and structure messy or unstructured datasets from multiple channels (Strictly Required).
Cloud Environments: 5+ years of hands-on experience working within enterprise cloud environments (Azure, AWS) across SaaS, PaaS, and IaaS models (Strictly Required).
Big Data Frameworks: 5+ years of practical experience working with big data architectures and distributed data frameworks (Strictly Required).
Machine Learning & Deep Learning: Demonstrated experience training, testing, and deploying predictive algorithms, classification models, and deep learning frameworks (such as TensorFlow or PyTorch) (Strictly Required).
.NET & Cloud API Engineering: Hands-on experience with custom Web API development, ASP.NET, .NET Core, Entity Framework, Azure SQL, DevOps, and CI/CD pipelines (Strictly Required).
Agile Delivery: Proven experience working in Agile delivery environments, including Kanban and task-board management (Strictly Required).
Communication & Visualization: Strong verbal and written communication skills to prepare technical reports, document designs, and communicate quantitative findings to both technical and non-technical stakeholders (Strictly Required).
Nice-to-Have Assets:
Prior data science or analytics experience supporting large-scale enterprise or public sector systems.
Experience with additional analytical software and programming languages (e.g., Python, R, SAS).
Experience designing intuitive business intelligence visualizations and interactive dashboards.
Summary
If you're interested in the "Senior Data Analytical Specialist/Scientist" role based in Toronto, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [email protected] to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
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