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Python Notebook Jupyter Jobs in Burnaby, BC (NOW HIRING)

Decision Science Analyst

Langley, BC · On-site

CA$85K - CA$106K/yr

Using Python scripts in a Jupyter Notebook environment for exploratory data analysis, data wrangling and statistical testing. * Developing and maintaining dashboards and visualizations in Power BI to ...

Python Notebook Jupyter information

What is a Python Notebook Jupyter?

Python Notebook Jupyter, commonly referred to as Jupyter Notebooks, are interactive web-based tools that allow users to write and execute Python code in a segmented, cell-based format. They are widely used for data analysis, machine learning, and visualization, providing an intuitive way to mix code, visualizations, and narrative text. Jupyter Notebooks are popular among researchers, data scientists, and educators for their flexibility and ease of sharing results. Additionally, they support multiple programming languages with the appropriate kernels, though Python is the most commonly used.

What are the key skills and qualifications needed to thrive as a Jupyter Notebook developer?

To thrive as a Jupyter Notebook Developer, you need strong proficiency in Python programming, data analysis, and a solid understanding of computational notebooks. Familiarity with Jupyter Notebook, data visualization libraries (such as Matplotlib, Seaborn), and tools like pandas and NumPy is typically required. Excellent communication, problem-solving skills, and attention to detail help convey complex ideas and collaborate effectively with team members. These skills enable efficient, reproducible, and collaborative data analysis workflows essential for research and data-driven decision-making.

How does a Python Notebook Jupyter developer typically collaborate with data scientists and other team members on projects?

As a Python Notebook Jupyter developer, collaboration with data scientists, analysts, and other stakeholders is a key aspect of the role. Developers often work in cross-functional teams, using Jupyter Notebooks to create, document, and share code, analyses, and visualizations in an interactive format. Effective communication is essential, as you may need to explain your code, help troubleshoot issues, or integrate feedback from peers. Version control tools like Git are commonly used to manage contributions and ensure smooth collaboration across the team.

What is the difference between Python Notebook Jupyter vs Data Analyst?

AspectPython Notebook JupyterData Analyst
CredentialsBasic programming knowledge, Python skillsDegree in statistics, data science, or related field
Work EnvironmentData science teams, research labs, tech companiesBusiness environments, consulting firms, finance, marketing
UsageData exploration, visualization, prototypingData cleaning, analysis, reporting

Python Notebook Jupyter is a tool primarily used for coding, data exploration, and visualization, often by data scientists and researchers. Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While both roles work with data, Jupyter notebooks are a technical tool used by data analysts as well, but the roles differ in scope and focus.

Infographic showing various Python Notebook Jupyter job openings in Burnaby, BC as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution.

Decision Science Analyst

Pattison Food Group

Langley, BC • On-site

CA$85K - CA$106K/yr

Full-time

Retirement

Re-posted 5 days ago


Job description

Come join Pattison Food Group Ltd., aJim Pattisonbusiness, and Canada's largest Western-based provider of food and health products.

Pattison Food Group Ltd. is a certified Great Place to Work and consists of Save-On-Foods and other well-known grocery banners. With nearly 300 retail locations, we proudly employ nearly 30,000 team members.

We have an exciting opportunity for a full-time Decision Science Analyst to join our More Rewards team in Langley, BC.

Reporting to the Senior Manager, Customer Data & Analytics, you will be responsible for leveraging all aspects of data and analytics to support large-scale projects, experimentation, and continuous improvement initiatives that guide decision-making and deliver high-quality insights. In this role, you will support the development and management of customer data and insights to support the More Rewards Loyalty Program, Marketing, Retail Operations and Merchandising.


You will be responsible for:

  • Collaborating with stakeholders to understand business questions, processes and KPIs.
  • Formulating testable hypotheses aligned with business questions and conducting statistical experiments in a live environment.
  • Writing SQL scripts to automate data pipelines and workflows.
  • Using Python scripts in a Jupyter Notebook environment for exploratory data analysis, data wrangling and statistical testing.
  • Developing and maintaining dashboards and visualizations in Power BI to convey insights, report on KPIs and test results.
  • Learning cloud-based analytics environments and big data tools to build analytics workflows on large datasets.
  • Discovering unique and creative insights to identify new opportunities for driving business value.
  • Becoming an expert in the relevant datasets within your analytics domain.
  • Supporting the Data & Analytics team with key projects.

You have:

  • A degree in a STEM discipline with 3+ years of relevant experience in data and analytics.
  • Advanced Python coding skills and understanding of SQL.
  • Experience with additional programming languages is an asset.
  • Experience using experimental design principles such as A/B and multivariate testing and working with business stakeholders to formulate testable hypotheses.
  • An understanding of advanced analytics and data science methods, such as anomaly detection, forecasting, and supervised & unsupervised learning.
  • Working knowledge of cloud environments, such as Azure, GCP or AWS. Experience with big data tools such as Spark and Databricks is an asset.

You are:

  • A confident communicator, both verbally and written, with strong interpersonal skills and the ability to communicate a story with data and insights to non-technical stakeholders.
  • A problem solver with strong analytical and critical thinking skills.
  • Effective in task management and delivering high-quality work.
  • Capable of multitasking and thriving in a fast-paced environment.
  • Self-motivated with the ability to work independently and collaboratively.

What we offer:

In addition to a highly competitive salary, we offer a great range of benefits, a company pension plan, free parking, exclusive team member offers, and opportunities for development and career progression.

If you're looking to join a team that puts people first, you're in the right place. Apply online today!


Compensation Details:

$85,062.00 - $106,328.00

The compensation offered for this position will take into consideration location, education, skills, experience and other factors.