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Phd In Statistics Jobs in Ontario (NOW HIRING)

The Department of Statistical Sciences welcomes applications for a tenure stream position. Candidates should have a PhD in relevant disciplines and demonstrate a strong research background in ...

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Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Computational Statistics and Applied ...

Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Computational Statistics and Applied ...

Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Computational Statistics and Applied ...

Advanced degree (MS or PhD) from accredited college or university, in statistics or closely related field. Equivalent combination of education, training and experience will be considered. * 15+ years ...

Master's or PhD in Statistics, Biostatistics, Data Science, Econometrics, Applied Mathematics, or a related quantitative field. * Experience: 6+ years in data science, applied statistics, or ...

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Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or another related STEM field Experience: * 6+ years post-Master's experience or 4+ ...

Advanced degree (MS or PhD) in a quantitative field such as Statistics, Applied Mathematics, Economics, Computer Science, or a related area * Hands-on technical experience in experimentation, causal ...

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 ...

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 ...

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 ...

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 ...

... statistical analysis protocols for validation Requirements: • PhD in Physics or Engineering with 2 years of related experience • Demonstrated background in precision measurements and metrology ...

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Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in academia, research, data science, and analytics, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

What are popular job titles related to Phd In Statistics jobs in Ontario?

For Phd In Statistics jobs in Ontario, the most frequently searched job titles are:

What cities in Ontario are hiring for Phd In Statistics jobs?

Cities in Ontario with the most Phd In Statistics job openings:

Infographic showing various Phd In Statistics job openings in Ontario as of August 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Full-Time Assistant Professor at University of Toronto

Full-time

Posted 2 days ago

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Job description

The University of Toronto seeks a full-time Assistant Professor in Statistical Learning Theory to commence on July 1, 2027. This role prioritizes innovative research and inclusive teaching practices.
The Department of Statistical Sciences welcomes applications for a tenure stream position. Candidates should have a PhD in relevant disciplines and demonstrate a strong research background in Statistical Learning Theory. A commitment to equity and diversity in academic settings is highly valued.
Key Responsibilities:
• Initiate innovative, independent research programs
• Engage in teaching and departmental service duties
• Ensure a respectful and inclusive working environment
Requirements:
• Earned PhD in Statistics, Data Science, or similar
• Excellent track record in Statistical Learning Theory
• Experience teaching or mentoring diverse populations
• Solid publication credentials in respected journals
• Outstanding references and teaching dossier required
Make a significant impact in education and research at the University of Toronto by applying your knowledge and dedication.
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