Fidning best talent in market

Data Scientist

St. John's
|5 years of exp
|Contract

Posted: 2 weeks ago

Job Location

St. John's

Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed

Skills

SQL

SaaS

PaaS

ASP.NET

Kanban

DevOps

Iaas

Configuration Management

Entity Framework

Azure

AWS

Data manipulation

Big Data technologies

TensorFlow

.NET Core

PyTorch

Classification Models

Web API Development

CI/CD Pipelines

ML Frameworks

Azure SQL

Big Data Frameworks

Machine Learning Solutions

Automated Deployments

Predictive Analytics Solutions

Deep Learning Solutions

Cleaning Datasets

Transforming Datasets

Managing Large Relational Databases

Sourcing Datasets

Structuring Complex Datasets

Structuring Unstructured Datasets

About the job

RQ11753 - Senior Data Analytical Specialist / Scientist

Location: Toronto, ON (5 Days Onsite)

Duration: October 26, 2026 – October 5, 2027 (can extend)

Par rate: $80-85

Type: Contract

We are seeking a Senior Data Analytical Specialist / Scientist to lead advanced analytics, machine learning, and data-driven decision-making initiatives within a large-scale enterprise environment. The successful candidate will be responsible for developing analytics solutions, building predictive models, designing data pipelines, and delivering actionable insights to support strategic business decisions.

Must-Have Skills

5+ years of experience with Azure and/or AWS cloud environments
5+ years of experience with Big Data frameworks and technologies
Strong expertise in SQL, data manipulation, and managing large relational databases
Experience sourcing, cleaning, transforming, and structuring complex or unstructured datasets
Experience developing, testing, and deploying Machine Learning, Predictive Analytics, Classification Models, and Deep Learning solutions
Hands-on experience with TensorFlow, PyTorch, or similar ML frameworks
Experience with ASP.NET, .NET Core, Web API Development, Entity Framework, Azure SQL
Strong experience with DevOps, CI/CD Pipelines, Automated Deployments, and Configuration Management
Proficiency across cloud service models (SaaS, PaaS, and IaaS)
Experience working in Agile environments using Kanban or similar methodologies
Strong analytical, communication, stakeholder management, and problem-solving skills.

Nice-to-Have Skills

Experience supporting large government or public sector applications
Experience with ETL development, data integration, and data engineering
Knowledge of Natural Language Processing (NLP), Data Mining, Statistical Modeling, and Information Visualization
Experience with Power BI, R, SAS, SPSS, MATLAB, Excel, Access, or VBA
Experience designing dashboards, reporting solutions, and business intelligence applications
Knowledge of data governance, data architecture, and enterprise analytics best practices.

Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.