1

Masters Data Science Jobs in Ontario (NOW HIRING)

A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ... Confident extracting and manipulating data from SQL and noSQL stores * Previous experience with ...

Data Scientist

Ottawa, ON · On-site

$80K - $100K/yr

A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ... Confident extracting and manipulating data from SQL and noSQL stores * Previous experience with ...

A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ... Confident extracting and manipulating data from SQL and noSQL stores * Previous experience with ...

Data Scientist

Kitchener, ON · On-site

$80K - $100K/yr

A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ... Confident extracting and manipulating data from SQL and noSQL stores * Previous experience with ...

Qualifications: 7+ years as a Data Architect Masters or bachelor's degree in one of the following: Data Analytics, Business Intelligence, Data Science, Computer Science, Engineering or Statistics, or ...

Master's degree (e.g., MBA, MS in Data Science) or advanced certifications (e.g., Certified ScrumMaster (CSM), SAFe Program Consultant (SPC), PMP) strongly preferred. Experience: * Minimum 10 years ...

Bachelor's degree in data science, information systems, public administration or related field ... Masters degree in a related field * Experience in higher education or a similarly complex ...

... Analysts and Scientists, using all the skills in order to exploit data to drive the business ... Master's degree preferred Supply Chain, Data Analytics, MBA or equivalent * Two (2) years or more ...

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

C++ Developer

Ottawa, ON · On-site +1

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

C++ Developer

Ottawa, ON · On-site +1

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

next page

Showing results 1-20

Masters Data Science information

What is the difference between Masters Data Science vs Data Analyst?

CriteriaMasters Data ScienceData Analyst
Required CredentialsMaster's degree in Data Science, Computer Science, or related fieldBachelor's degree in Statistics, Mathematics, or related field
Work EnvironmentResearch-focused, developing models, algorithms, and advanced analyticsData cleaning, reporting, and visualization for business insights
Employer & Industry UsageTech companies, research institutions, large enterprisesBusiness, finance, marketing, healthcare sectors
Common Search & Comparison IntentUnderstanding advanced data roles, qualifications, and skillsEntry-level data roles, daily tasks, and career path

Masters Data Science professionals typically have advanced degrees and focus on developing complex models and algorithms, often in research or technical environments. Data Analysts usually hold bachelor's degrees and concentrate on interpreting data, creating reports, and supporting business decisions. Both roles are essential in data-driven industries but differ in scope, skills, and responsibilities.

Is a master's in data science worth it?

A master's in data science can enhance job prospects for data scientists by providing advanced skills in programming, statistics, and machine learning, which are highly valued in the field. It often leads to higher salaries and more senior roles, but practical experience and certifications like Python or R are also important for success.

What can I do with a master's in data science?

A master's in data science prepares individuals for roles such as data scientist, data analyst, machine learning engineer, or data engineer. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

Where can I work with a master's in data science?

A master's in data science qualifies individuals for roles such as data scientist, data analyst, machine learning engineer, and data engineer across various industries including technology, finance, healthcare, and consulting. These positions often require skills in programming, statistical analysis, and data visualization, and are available in both corporate and research environments.
Infographic showing various Masters Data Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Scientist

Kitchener, ON

Targeted Talent
Recruiting and Staffing Services • 11 - 50 employees

$80K - $100K/yr

Full-time

Medical, Dental, PTO

Re-posted 25 days ago


Job description

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg. Our client is a global enterprise company with a product that you've likely used. 
The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply and demand balancing problems.

You Have:

  • A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats)
  • 1-2 years' experience developing solutions and working with Python
  • Confident extracting and manipulating data from SQL and noSQL stores
  • Previous experience with Machine Learning, Data Science and solving problems at scale

Perks:

  • Competitive Salary
  • Individual performance bonus
  • Health and dental benefits
  • 3 weeks’ vacation
  • Relocation Package
* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

Targeted Talent logo

About Targeted Talent

Sourced by ZipRecruiter

Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA