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Masters In Statistics Jobs in Ontario (NOW HIRING)

Degree in Business Analytics, Applied Mathematics, Statistics, Marketing or other analytical fields ... Masters in any analytical field for Analyst. * Experience building and implementing predictive ...

Degree in Business Analytics,Computer Science, Applied Mathematics, Statistics or other analytical ... Minimum 3 - 5 years of practical experience in data analytics, business analytics or Masters in any ...

Degree in Business Analytics, Applied Mathematics, Statistics or other analytical fields preferred ... Masters in any analytical field for Analyst. * Experience building and implementing predictive ...

Advanced degree of Masters or higher in statistics, finance, or other quantitative field * Industry certifications a plus (e.g., CFA, FRM) The and related application pertains to an opportunity with ...

Masters or Bachelor degree in Applied Mathematics, Physics, Aerospace Engineering or Computer Science or the equivalent; * A background in statistics, calculus, classical mechanics, celestial ...

Masters or Bachelor degree in Applied Mathematics, Physics, Aerospace Engineering or Computer Science or the equivalent; * A background in statistics, calculus, classical mechanics, celestial ...

Masters or Bachelor degree in Applied Mathematics, Physics, Aerospace Engineering or Computer Science or the equivalent; * A background in statistics, calculus, classical mechanics, celestial ...

Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus. * Have the ability to take an ambiguously defined task, and break it ...

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 ...

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Masters In Statistics information

What jobs make $1,000,000 a year?

In the field of statistics, high-paying roles such as chief data officers, senior quantitative analysts, or data science executives can reach or exceed $1 million annually, especially in large corporations or financial firms. These positions typically require extensive experience, advanced skills in data modeling, and leadership responsibilities, often supplemented by bonuses and stock options.

Is a master's degree in statistics worth it?

A master's in statistics can enhance job prospects in data analysis, data science, and related fields, often leading to higher salaries and advanced roles. It provides skills in statistical software, programming, and data interpretation that are highly valued by employers. However, the value depends on career goals and industry demand for advanced quantitative expertise.

Are statisticians highly paid?

Statisticians with a master's in statistics often earn higher salaries than those with only a bachelor's degree, with median annual wages typically above the national average for all occupations. Salaries vary based on experience, industry, and location, but advanced skills in data analysis, programming, and statistical software can lead to higher compensation.

What can you do with a Master's in Statistics?

A Master's in Statistics opens up a wide range of career opportunities in various industries, including healthcare, finance, government, technology, and research. Graduates often work as data analysts, statisticians, biostatisticians, data scientists, or research scientists. They are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. This degree also provides a strong foundation for pursuing doctoral studies or specialized roles in academia and industry.

What types of roles and industries typically hire professionals with a Master's in Statistics, and how do these roles differ in daily responsibilities?

A Master's in Statistics opens doors to a variety of roles across industries such as healthcare, finance, technology, government, and research institutions. For example, statisticians in healthcare may focus on designing clinical trials and analyzing patient outcomes, while those in finance might develop risk models or forecast market trends. In tech, statisticians often collaborate with data scientists and engineers to optimize algorithms or interpret large data sets. Daily responsibilities can range from data cleaning and analysis to presenting findings and advising stakeholders, with collaboration and communication being key across all sectors.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating data analysis tasks and enabling more complex modeling, but it does not replace the need for statistical expertise. Statisticians are essential for designing experiments, interpreting results, and ensuring data quality, often using tools like R or Python. Their skills remain valuable in developing, validating, and applying AI models across various industries.

What are the key skills and qualifications needed to thrive as a Statistician, and why are they important?

To thrive as a Statistician, you need strong quantitative analysis skills, a solid foundation in probability and statistical theory, and typically a master's degree in statistics or a related field. Familiarity with statistical software such as R, SAS, or Python, and experience with data management systems are common technical requirements. Excellent problem-solving abilities, attention to detail, and clear communication skills help statisticians interpret data and explain results to non-experts. These skills are vital for providing accurate analyses that inform decision-making and drive research or business strategies.

What is the difference between Masters In Statistics vs Data Analyst?

AspectMasters In StatisticsData Analyst
Required CredentialsMaster's degree in Statistics or related fieldBachelor's or Master's degree in related fields like Business, Economics, or Computer Science
Work EnvironmentResearch, academia, data science teams in various industriesBusiness, finance, marketing departments, often in corporate settings
Industry UsageUsed in research, academia, specialized data science rolesApplied in business decision-making, reporting, and operational analysis

Masters In Statistics and Data Analyst roles share overlapping skills in data handling and analysis. However, a Masters In Statistics typically involves advanced statistical theory and research, preparing individuals for specialized or academic roles. Data Analysts focus on applying data skills to solve business problems, often with less emphasis on theoretical research. Both roles are vital in data-driven industries, but their focus and career paths differ.

What are popular job titles related to Masters In Statistics jobs in Ontario? For Masters In Statistics jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Masters In Statistics jobs in Ontario look for? The top searched job categories for Masters In Statistics jobs in Ontario are:
What cities in Ontario are hiring for Masters In Statistics jobs? Cities in Ontario with the most Masters In Statistics job openings:
Infographic showing various Masters In Statistics job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.
Sessional Lecturer - STA256H5F LEC101 Probability and Statistics 1 (emerg posting)

Sessional Lecturer - STA256H5F LEC101 Probability and Statistics 1 (emerg posting)

University of Toronto

Mississauga, ON

CA$15K/mo

Full-time

PTO

Posted 16 days ago


Job description

Date Posted: 07/08/2026
Req ID: 49282
Faculty/Division: UofT Mississauga
Department: UTM: Math/Comp. Sciences
Campus: University of Toronto Mississauga (UTM)
Existing Vacancy: Yes

Description:

Course Number and Title:  STA256H5F LEC101 Probability and Statistics 1

Course Description: This course covers probability including its role in statistical modeling. Topics include probability distributions, expectation, discrete and continuous random variables and vectors, distribution functions, distributions of functions of random variables, limit theorems, the central limit theorem.

Course Enrolment (Estimated): 120

Number of Positions:              1

TA Support: 50 hrs per 35 students enrolled per semester

Sessional Dates of Appointment:  September 1, 2026 – December 31, 2026

Salary: Rate of pay for Sessional Lecturer I is $15,000 for a half course (inclusive of vacation pay).

Class Schedule: Mon 15:00 - 17:00, Wed 14:00 - 15:00

Minimum Qualifications: Ph.D. in Statistics, completed or nearly complete. Exceptional candidates with a Masters in Statistics will be considered. Advanced comprehension of the subject matter as evidenced by research activity and/or advanced teaching experience. Strong organizational, interpersonal, and communication skills.

Preferred Qualifications: Demonstrated evidence of excellence in teaching preferred.  Preference will be given to candidates with demonstrable currency and mastery.

Description of Duties: Responsible for all aspects of delivering a university credit course including:  planning the lectures, tutorials, assignments and tests and marking schemes; providing appropriate contact time outside of class to students, through office hours, emails, etc.; invigilating the final exam; managing the grades and submitting the final course grades; dealing with student petitions, setting and grading a make-up exam if required.

How to apply: If interested, please reply to: jobsmcs.utm@utoronto.ca with the following information: 1) CUPE 3902 (Unit 3) Employment Application Form: https://uoft.me/CUPE- 3902-Unit-3-Application-Form; 2) your current CV.

Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity-deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the position

Closing Date: 07/24/2026, 11:59PM EDT
**

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. 

 It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.  

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.

Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.