88980

Toronto, Ontario

Contract

4 hours ago

Senior Data Scientist
Hybrid, Toronto, ON
2 -3 days on site
Duration 3 yrs, (156 weeks)

1.0 Description of Assignment

The IT department is embracing AI-driven technology innovations to enhance customer service, optimize operational efficiency, and improve the overall experience of customers and staff. We aim to leverage artificial intelligence (AI) and machine learning (ML) for advanced data mining, predictive analytics, and intelligent automation to drive data-driven decision-making and achieve the strategic objectives.

The Data Scientist will be responsible for developing and implementing AI-powered analytics solutions. This includes leveraging machine learning algorithms, natural language processing (NLP), and deep learning models to extract insights, enhance predictive capabilities, and optimize business functions. The role will focus on applying AI techniques to improve service reliability, demand forecasting, and operational decision-making, ensuring a seamless and efficient transit experience.

Hybrid work environment according to office policy. Currently at Union Station (61 Front St W, Toronto) with minimum 2 days at office.

Skills and Certifications

Mandatory Skills and Experience:

5+ years of experience in data science, machine learning and advanced analytics
5+ years of experience with Azure SQL Server, Synapse and Databricks
5+ years of experience with SQL and Python
Building and deploying AI/ML models in Azure Machine Learning (AML) Azure Open AI and other Azure services
Developing reports with Power BI or other visualization tools

Technical Skills

Proficiency in Azure Synapse and Azure Databricks tools and environments
Solid understanding of data lake architecture and data warehousing principles
Strong understanding of data modelling, ETL pipelines and big data solutions
Strong programming skills in SQL and Python
Expertise in Apache Spark and big data processing
Expertise with structured and unstructured data sources
Building and deploying AI/ML models in Azure Machine Learning (AML) services
Expertise with Power BI or other visualization tools for reporting

Analytical Skills

Proven ability to derive actionable insights from complex datasets
Experience with statistical analysis, predictive modelling, and machine learning techniques
Advanced knowledge of SQL for data manipulation and querying
Experience with visualization tools like Power BI for reporting

Soft Skills

Excellent communication and collaboration abilities
Adaptability to learn and implement new technologies
Strong problem-solving and critical thinking skills
Substantial knowledge of cloud computing & data virtualization
Experience in initiatives involving IT solutions and multiple stakeholders
Understanding of the Ontario Human Rights Code (OHRC) and the Accessibility for Ontarians with Disabilities Act (AODA)

Certifications

Microsoft Certified: Azure Data Engineer Associate (desirable)
Microsoft Certified: Azure AI Engineer Associate (desirable)

3.0 Assignment Duties

Reporting to the supervisor, the Data Scientist will be responsible for collaborating with cross-functional teams to identify business needs and implementing data-driven solutions, analyzing complex data models, developing and deploying machine learning models for predictive analytics including the transformation of large datasets using Azure Databricks and Apache Spark, creating data visualizations and dashboards using Power BI or similar tools.

The ideal candidate will have hands-on expertise in Azure Synapse and Azure Databricks environments, ensuring the efficient processing, analysis, and interpretation of complex datasets to drive data-informed decision-making.

Scope of work includes the following

Collaborate with cross-functional teams to identify business needs and implement data-driven solutions
Build, maintain, and optimize ETL pipelines
Process and transform large datasets using Azure Databricks and Apache Spark
Design, develop, and implement AI/ML models and advanced data analytics solutions
Develop and deploy machine learning models for predictive analytics
Work with large-scale data processing frameworks using Azure Databricks and Spark
Conduct exploratory data analysis, feature engineering, and predictive modelling
Create data visualizations and dashboards using Power BI or similar tools
Ensure best practices in data governance, model performance, and scalable architecture
Stay up to date with the latest advancements in AI/ML and cloud-based analytics
Other project duties as assigned

4.0 Deliverables

Detailed technical design and functional specifications
Completed system components 'unit tested' and ready for System, QA and User Acceptance testing
Technical support during the various stages of testing (system integration, QA, User Acceptance)
Implementation preparation
Technical documentation
Presentation decks
Post implementation support
Status Reports

The pay range that the employer reasonably expects to pay for this position is between CA$78.00 and CA$85.00

Our voluntary benefits offering includes medical, dental, vision and retirement benefits.

This posting is for an existing vacancy.

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Tundra Technical Solutions is a global workforce and technology delivery firm, ranked by Staffing Industry Analysts as one of the largest in North America. At Tundra, we aren't just hiring top talent at the world's most recognizable brands; we are pioneers of social recruitment. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics. We welcome and encourage diversity in the workplace.

We use artificial intelligence tools to help our recruiters screen and assess talent. These tools do not replace human decision making in the process.

Not interested in this position, but know somebody who might be? Check out our Referral Reward Program, referrals are a big secret behind our success. As always, we’re on the lookout for great people. And we know that you know great people!