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How much do part time data science jobs pay per hour?

As of May 29, 2026, the average hourly pay for part time data science in Quebec is $46.93, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $69.71 per hour, depending on experience, location, and employer.

What Are Part Time Data Science Jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What are the key skills and qualifications needed to thrive as a Part Time Data Scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.
More about Part Time Data Science jobs
What are the most commonly searched types of Data Science jobs in Quebec? The most popular types of Data Science jobs in Quebec are:
What are popular job titles related to Part Time Data Science jobs in Quebec? For Part Time Data Science jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science jobs in Quebec look for? The top searched job categories for Part Time Data Science jobs in Quebec are:
Part Time Data Science jobs near you
Infographic showing various Part Time Data Science job openings in Quebec as of May 2026, with employment types broken down into 86% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution, with an average salary of $97,613 per year, or $46.9 per hour.

Product Owner, Data

Reitmans (Canada) Ltée/Ltd

Montreal, QC • Hybrid

Full-time, Part-time

PTO

Posted 4 days ago

Job description

Company Description

We’re RCL - Reitmans Canada Limited. We’ve been part of the fabric of Canada’s fashion landscape since 1926, and today, we’re elevating our iconic brands – Reitmans, RW&CO, and PENN. Penningtons – more than ever before.

Our vision is to empower Canadians to live confidently, and our mission is to create collections of uncompromising style and quality for all. 

With close to 400 stores nationwide and collections designed right here at home, in Canada, we offer an exceptional customer experience. What drives us? A clear vision, unwavering commitment to our customers, and the passion of our thousands of employees across the country.

Job Description

The Product Owner, Data is responsible for building and evolving our enterprise cloud-hosted data warehouse to power analytics, business intelligence, activation and AI. This role blends product ownership with hands on data engineering, ensuring our data platform is scalable, trusted, and aligned with business priorities.

Responsabilities:

Product Ownership

  • Lead the roadmap and for the enterprise data platform, with Snowflake as the core technology
  • Manage the data platform backlog, balancing strategic initiatives with operational needs
  • Translate business needs into technical requirements
  • Partner with business leaders to identify high‑value data opportunities that support Analytics, BI, and AI use cases
  • Define and track KPIs for platform adoption, data quality, performance, and business impact

Data Engineering & Platform Development

  • Design, build, and maintain scalable data pipelines and transformations using Snowflake, SQL, and modern ELT/ETL tools
  • Develop and optimize Snowflake objects (warehouses, schemas, tables, views, tasks, streams)
  • Implement data quality, observability, and monitoring frameworks
  • Collaborate with BI developers, data scientists, and analysts to ensure data models support reporting and machine learning needs
  • Integrate data from internal systems, third‑party sources, and cloud platforms
  • Ensure platform performance, cost optimization, and security alignment with enterprise standards.
Qualifications

Education & Experience

  • Bachelor’s degree in Analytics, Statistics, Marketing, Economics, Business Administration, or a related field (Master’s degree is preferred).
  • 5+ years of experience in data engineering, data platform development, or advanced analytics.
  • 2+ years of experience as a Product Owner, Product Manager, or in a similar role (or demonstrated strong product mindset).
  • Experience in retail, e‑commerce, or multi‑banner environments is preferred.

Technical Skills

  • Excellent command of SQL and strong expertise with Snowflake (data modeling, performance optimization, pipeline development).
  • Knowledge of cloud environments, ideally Microsoft Azure.
  • Experience with ELT/ETL tools (e.g., dbt, Fivetran, Informatica, Git/GitHub), orchestration and monitoring tools (e.g., Airflow), and data visualization platforms (e.g., MicroStrategy, Power BI, Tableau) is required.
  • Experience using Microsoft Visio, Jira and Confluence preferred  
  • Strong knowledge of Agile methodologies, sprint planning, and risk management.
  • Ability to translate business needs into technical solutions delivered iteratively and with added value.

Softs skills

  • Excellent communication skills and ability to translate complex technical concepts into clear, understandable language.
  • Strong collaboration skills with multidisciplinary teams.
  • Structured, results-oriented, and value-driven approach.
  • Analytical mindset and ability to thrive in a constantly evolving environment.

Language

  • Bilingualism (French/ English) is an asset for internal and external collaboration and for effective use of tools and platforms.

Additional Information

What Sets Us Apart:

  • Ultimate Flexibility*: Enjoy a hybrid work environment that ensures the perfect balance between work and personal life.
  • Well-Being First: Access a comprehensive benefits program designed to take care of you.
  • Flexible Time Off*: Paid leave, sick days, and vacation time to recharge and spend quality time with loved ones.
  • Exclusive Discounts*: Enjoy 50% off regular-priced items from PENN. Penningtons, Reitmans, and RW&CO.
  • Referral Rewards*: Refer your professional network and earn a bonus for helping us grow our talented team
  • Growth opportunities*: Annual bonuses, career advancement, and tuition reimbursement to help you reach your professional goals.

*Certain conditions apply

Total rewards are aligned with your employment status, offering different perks depending on whether you're full-time, part-time, or under contract.

Reitmans (Canada) Limited is an equal opportunity employer committed to a diverse, inclusive, and accessible workplace where everyone belongs. If you are contacted for an employment opportunity, please advise us of any accommodation required throughout the recruitment process. All information provided will be kept confidential and used solely to support an accessible candidate's experience.

The use of Artificial Intelligence may be used for candidate screening purposes.

We thank all applicants. Only selected candidates will be contacted.

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