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Part Time Data Science Jobs in Vancouver, BC (NOW HIRING)

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$9

$47

$113

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

As of Aug 7, 2026, the average hourly pay for part time data science in Vancouver, BC is $47.16, according to ZipRecruiter salary data. Most workers in this role earn between $15.46 and $70.06 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 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.

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 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.
More about Part Time Data Science jobs
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Part Time Data Science jobs near you
Infographic showing various Part Time Data Science job openings in Vancouver, BC as of August 2026, with employment types broken down into 100% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $98,096 per year, or $47.2 per hour.

Part-Time Lecturer - Analytics (Vancouver)

NorthEastern

Vancouver, BC • On-site

CA$2.0K/wk

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Job description

About the Opportunity

Northeastern University's College of Professional Studies invites applicants for a part-time faculty position to teach in the Master of Professional Studies Analytics, located on-ground in Vancouver.

Responsibilities:

The Master of Professional Studies in Analytics is looking for a part-time faculty teaching courses across the program with special emphasis on applied machine learning, artificial intelligence and experiential network addressing the business challenges in the industry. Instructional areas include, but are not limited to, analytics, with expertise in probability and statistics, data exploration, data visualization, and predictive analytics. The mission of the Master of Professional Studies in Analytics program is to foster foundational analytics skills among working professionals, including preparing data, conducting data analysis such as regression, forecasting, optimization, data visualization, and data story telling. This degree prepares students for entry- and mid-level roles in analytics, such as data analyst, data specialist, database analyst, program analyst, research analyst, or research associate. These roles are general analyst roles and are not specific to any professional domains or disciplines (e.g., business, marketing, and engineering). The degree is deeply rooted in experiential learning that is closely linked to professional applications in the work force.

Qualifications:

Masters in an aligned discipline and analytics-industry experience.Preference for candidates with a PhD in a sciences field, or similar. Demonstration of teaching at the graduate level (on-ground) is strongly preferred.

Supervision:

This position will report to the Faculty Director of the Domain Analytics and Enterprise Intelligence.

Additional Information:

Applicants should submit materials including a letter of interest, vitae, teaching evaluations, and contact information for three professional references. In your cover letter, please discuss how you can support our commitment to fostering an inclusive environment for all faculty, staff, and students.

Position Type

Academic

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Pay Range:

The per credit rate is $2,049.43

Apply