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Part Time Data Scientist Machine Learning Jobs in Manitoba

CA$35.39 - CA$50.85/hr

Develops processes to ensure MDS data accuracy, efficient data collection process, assessment ... Ongoing learning and development * Employee education assistance program * Award winning corporate ...

CA$17.60 - CA$23.10/hr

Data Entry; Price Check; Patient Information Entry/Update; Competent interpretation and processing ... computer, fax machine, etc. 6. Clerical Organization, filing prescriptions, invoices, reports ...

Retail - Relief Travel Requirements: 0 - 10% Job Type: Part-Time Country: Canada (CA) Province ... Bachelor of Science in Pharmacy from a recognized institution. * Must be a Licensed Pharmacist in ...

Retail - Pharmacy Travel Requirements: 0 - 10% Job Type: Part-Time Country: Canada (CA) Province ... Bachelor of Science in Pharmacy from a recognized institution * Must be a Licensed Pharmacist, in ...

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Part Time Data Scientist Machine Learning information

Is it possible to work part-time as a data scientist?

Yes, it is possible to work part-time as a data scientist. Many companies offer flexible schedules or project-based roles that allow data scientists to work fewer hours, especially for freelance or consulting positions. However, full-time roles are more common, and part-time opportunities may require strong self-management and relevant skills in machine learning, programming, and data analysis.

How do part time data scientists specializing in machine learning typically collaborate with full-time teams and stakeholders?

Part-time data scientists in machine learning roles often work closely with full-time team members through regular meetings, collaborative project management tools, and clear documentation. They may be responsible for specific components of a project, such as data preprocessing, model development, or evaluation, and are expected to provide frequent updates and integrate their work with the broader team’s efforts. Effective communication and proactive time management are key, as part-time professionals usually need to balance their limited hours with project milestones and cross-functional collaboration. This structure allows part-time data scientists to contribute significant value while maintaining flexibility.

What is the difference between Part Time Data Scientist Machine Learning vs Part Time Data Analyst?

AspectPart Time Data Scientist Machine LearningPart Time Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of machine learning algorithmsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and basic analytics
Work EnvironmentFocus on developing predictive models, machine learning algorithms, and advanced analyticsData cleaning, reporting, and descriptive analysis of datasets
Employer & Industry UsageTech companies, finance, healthcare, and industries leveraging AI and predictive analyticsRetail, marketing, finance, and other sectors requiring data reporting and insights

Part Time Data Scientist Machine Learning roles focus on building predictive models and applying machine learning techniques, requiring specialized skills and advanced knowledge. In contrast, Part Time Data Analysts primarily handle data cleaning, reporting, and descriptive analysis. Both roles are essential but differ in complexity and technical depth.

What are the key skills and qualifications needed to thrive as a part time data scientist machine learning?

To thrive as a Part Time Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch, as well as experience with data visualization tools and cloud platforms, is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you translate complex data insights for stakeholders and collaborate within teams. These competencies ensure you can develop accurate models, deliver actionable results efficiently, and adapt to the dynamic needs of part-time project work.

What does a part time data scientist specializing in machine learning do?

A part time data scientist with a focus on machine learning uses statistical methods and algorithms to analyze data and build predictive models, typically on a flexible or reduced schedule. They work with datasets to extract insights, clean and prepare data, train machine learning models, and help organizations make data-driven decisions. Their responsibilities may include collaborating with teams, presenting findings, and deploying models, but on a part-time basis, allowing for work-life balance or the pursuit of additional projects. This role is ideal for those seeking to contribute their expertise without committing to a full-time position.
What cities in Manitoba are hiring for Part Time Data Scientist Machine Learning jobs? Cities in Manitoba with the most Part Time Data Scientist Machine Learning job openings:

Registered Nurse (RAI Coordinator) - Temporary Part-Time

Yee Hong Centre for Geriatric Care

On-site

CA$35.39 - CA$50.85/hr

Part-time

Posted 10 days ago


Job description

Registered Nurse (RAI Coordinator) - Temporary part-time for 6 months, with possibility of extension

Plans and organizes the RAI project in the Home, provides RAI-MDS education and on-site support to all RAI users in the Home, develops and ensures data accuracy and data submission in a timely manner, and attend RAI Assessment Project education sessions.

Qualifications:

  • Registered Nurse with current Certificate of Competence from the College of Nurses of Ontario

  • Experience in nursing and staff supervision an asset

  • Current CPR Certificate

  • Good leadership skills

  • Demonstrated initiative, problem solving and judgement skills.

  • Superb customer service skills

  • Computer literacy

  • Satisfactory Police Vulnerable Sector Screen result

  • Ability to converse in Chinese an asset.

Responsibilities:

  • Manages and oversees the implementation of RAI in the Home

  • Provides RAI-MDS 2.0 and HOBIC education and computer training to staff

  • Acts as a resource to interdisciplinary team members in the Home

  • Develops processes to ensure MDS data accuracy, efficient data collection process, assessment completion and data utilization

  • Conducts regular audits of MDS assignment and monitors data accuracy

  • Submits MDS data to CIHI according to prescribed timeline

  • Downloads and retrieves reports from CIHI MDS database as required for Professional Advisory Committee, PCC RAI/MDS Committee and as needed by the Executive Director and/or his/her designate

  • Liaises with MOH Inspector and provides resident information from CIHI MDS database as needed

  • Implements effective risk management and quality improvement programs, including infection control, occupational health and safety, incidents and falls, etc

  • Participates in nursing-related committees as appropriate

  • Supervises activities of students, as assigned, in accordance with the College of Nursing of Ontario's Accountability Standards for Nurses Working with Students

  • Provides job shadowing or mentorship to members of the health care team, as assigned

  • Keeps up-to-date with developments and best practices in the field

  • Other duties as assigned

Physical Demands/Working Condition:

  • This position is temporary part-time for 6 months, with possibility of extension

  • Considerable standing, walking, lifting and bending.

  • Exposure to all resident care elements through regular resident contact.

  • Shift work, including days, evenings, nights and weekends

Please apply before:

2026-08-03

Salary Range:

$35.39 - $50.85

INTERNAL APPLICANTS: PLEASE APPLY THROUGH THE JOBS HUB

Our people are our greatest strength and the core of our success. We invest in our employees' wellbeing and support their ongoing learning and development. We offer:

  • Competitive total compensation package

  • Multi-employer pension plan

  • Professional development opportunities

  • Ongoing learning and development

  • Employee education assistance program

  • Award winning corporate culture

  • Safe, inclusive and supportive work environment

Yee Hong is an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process. Requests for accommodation can be made at any stage of the recruitment process providing the applicant has met the bona-fide requirements for the open position. If contacted for this employment opportunity, please advise if you require any accommodation.

Successful applicants must provide a recent satisfactory vulnerable sector police reference check and medical clearance certificate.

Our hiring process involves the use of Artificial Intelligence (AI) to assist with screening of the applicants' resume.

This job is posted to fill an existing vacancy.