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Data Science And Analytics Jobs in Toronto, ON (NOW HIRING)

Curinos Inc

Manager, Delivery Data Science

Toronto, ON · On-site

Our AI-first platform transforms proprietary data, advanced analytics and deep financial services ... We are seeking a Manager, Delivery Data Science to lead the development, validation, and ...

New

MasterCard

Data Scientist II

Toronto, ON · On-site

... Science portfolio. This includes helping build the foundational data assets, profiling logic, analytical workflows, and machine learning approaches needed to better understand merchant behavior ...

Sun Life Financial

Senior Data Scientist

Toronto, ON · On-site

An integral part of the Data and Analytics COE organization, the Data Science COE supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in ...

Sun Life Financial

Senior Data Scientist

King, ON · On-site

An integral part of the Data and Analytics COE organization, the Data Science COE supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in ...

Sun Life Financial

Senior Data Scientist

King, ON

An integral part of the Data and Analytics COE organization, the Data Science COE supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in ...

Sun Life Financial

Senior Data Scientist

Toronto, ON · On-site

Data Science and Machine Learning * Translate business goals into analytical problems;Identifyoptimalalgorithms, statisticaltechniquesand/or GenAI architecture suitable for the business problem at ...

Sun Life Financial

Senior Data Scientist

Toronto, ON

Data Science and Machine Learning * Translate business goals into analytical problems;Identifyoptimalalgorithms, statisticaltechniquesand/or GenAI architecture suitable for the business problem at ...

Genentech

Senior Data Scientist

Mississauga, ON · On-site

CA$156K - CA$290K/yr

Beyond hands-on analytics, you will mentor junior colleagues, promote best practices, and lead complex projects - shaping the way data science and statistics contribute to PT's success. Main ...

CIBC

Manager, Data Science

Toronto, ON · Hybrid

What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to ... This involves working with multiple stakeholders on data analysis, process engineering for ...

CIBC US

Manager, Data Science

Toronto, ON · Hybrid

What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to ... This involves working with multiple stakeholders on data analysis, process engineering for ...

Cushman & Wakefield

Junior Data Scientist

Toronto, ON · On-site

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 ...

Cushman & Wakefield

Junior Data Scientist

Toronto, ON · On-site

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 ...

Cushman & Wakefield

Junior Data Scientist

Toronto, ON · On-site

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 ...

Thoughtworks

Principal Data Scientist

Toronto, ON · On-site

You have experience in the Retail and Customer Analytics industry. * You have experience with defining strategy/vision for the data science function, aligning it with the overall business strategy.

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All JobsData Science And Analytics JobsData Science And Analytics Jobs in Toronto, ON

Data Science And Analytics information

Is data science and analytics still in demand?

Data science and analytics roles remain highly in demand across various industries due to the increasing reliance on data-driven decision making. Professionals with skills in programming, statistical analysis, and tools like Python, R, or SQL are sought after, and the field continues to grow as organizations prioritize data insights for competitive advantage.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, statistical analysis, and data visualization tools, and often involve working with large datasets to inform business decisions.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology.

What are the key skills and qualifications needed to thrive as a data science and analytics professional, and why are they important?

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.
What cities near Toronto, ON are hiring for Data Science And Analytics jobs? Cities near Toronto, ON with the most Data Science And Analytics job openings:
Data Science And Analytics jobs near you
Infographic showing various Data Science And Analytics job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Manager, Data Science (Askuity division)

The Home Depot Canada

Toronto, ON • On-site

CA$130K - CA$160K/yr

Other

Retirement

Posted 10 days ago

Job description

Job Description

Pay Range: $130,000 - $160,000

At The Home Depot Canada, we want you to feel valued and supported. The pay range you see represents base salary only. In addition, your total rewards may include: semi-annual bonuses tied to business performance; Deferred Profit-Sharing Program to assist with retirement savings; comprehensive paid benefits; a 15% discount on Home Depot stock purchases; and merit-based salary increases. We are committed to recognizing your efforts and supporting your growth with us.

Are you someone who thrives on helping others succeed, enjoys making an impact, and takes pride in guiding customers to the right solutions for their projects? If you’re also naturally curious and eager to keep learning, consider starting or growing your career with us at The Home Depot.

Position Overview:

Askuity is a Toronto-based retail analytics software company operating as a division within The Home Depot (THD). Through our supplier analytics program, Askuity’s mission is to enable suppliers and merchants at The Home Depot to make profitable, data-driven decisions and drive real-time execution.

As a Manager, Data Science you will lead the development and integration of AI-enabled capabilities within Fusion, The Home Depot’s Business Intelligence (BI) tool for suppliers. In this role, you will lead a team of data scientists and collaborate with cross-functional stakeholders to enhance decision-making and analytical capabilities within the platform. Your work will be instrumental in optimizing supplier performance, driving insights, and ensuring Home Depot suppliers can leverage data-driven strategies effectively.

Key Responsibilities:

  • Lead and mentor a team of data scientists in developing AI-powered solutions, including Generative AI (GenAI), for Fusion.
  • Define the AI roadmap and strategy to enhance predictive analytics, machine learning, Gen AI capabilities, intelligent automation, and decision support functionalities.
  • Collaborate with leaders from product management, design and engineering to integrate advanced analytics into the BI tool.
  • Design and implement machine learning models, NLP, LLM-powered applications, retrieval-augmented generation (RAG), prompt engineering, and other AI techniques to improve user experience and insights generation.
  • Ensure data integrity, quality, and security across all analytics processes.
  • Drive innovation by evaluating emerging AI technologies including foundation models, GenAI frameworks, agentic AI, and responsible AI practices.
  • Communicate findings and AI-driven solutions to senior leadership and stakeholders in a clear and impactful manner.
  • Measure and evaluate AI and GenAI solutions using business, technical, and model quality metrics while continuously optimizing performance.

Competencies:

  • Business acumen
  • Product thinking
  • Data storytelling
  • Problem-solving, analytical thinking
  • Strategic planning
  • Team leadership
  • Cross-functional collaboration
  • Talent development
  • Influencing skills and stakeholder management
  • Executive communication

Skills:

  • Python, R, SQL, and machine learning frameworks such as TensorFlow or PyTorch
  • GenAI applications using Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and model evaluation techniques
  • AI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, OpenAI APIs, or equivalent enterprise GenAI platforms
  • Cloud-based data platforms (AWS, GCP, Azure) and big data technologies
  • Statistical modeling and machine learning
  • Data management & engineering awareness
  • Programming and MLOps practices

Direct Manager:

  • Reports to Director, Product Management

Physical Requirements:

  • None

Hybrid Work:

  • 3 days per week in our downtown Toronto office
  • (King / Spadina)

Working Conditions:

  • Office

Minimum Education:

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. Ph.D. preferred.

Minimum Years of Work Experience:

  • 5+ years of experience in Data Science, Machine Learning, AI, or GenAI application development, with at least 2 years leading technical teams.

Minimum Leadership Experience:

  • 2 years

Certifications:

  • None


In our commitment to efficiency, consistency, and a fair hiring experience for all candidates, The Home Depot Canada uses Artificial Intelligence (AI) technology to assist with the screening and assessment of applicants for this position. This technology is used to quickly and consistently identify candidates whose skills and experience are the strongest match for the role. Our process is designed to ensure human oversight is maintained throughout the selection process.

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