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Phd In Statistics Jobs in Toronto, ON (NOW HIRING)

Mercor

Computational Statistics Expert - PhD

Toronto, ON · Remote

CA$70 - CA$90/hr

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 ...

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$55 - CA$80/hr

PhD or advanced degree (or equivalent industry experience) in Medicine , Healthcare , Statistics , Data Science , AI/ML Research , Computer Science , Game Development , or Mechanical/Aerospace ...

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$55 - CA$80/hr

PhD or advanced degree in Medicine / Healthcare , Statistics and Data Science , AI / ML Research , Computer Science , Game Development , or Mechanical / Aerospace Engineering . * High attention to ...

Mercor

Mathematics PhD - Benchmark Specialist

Toronto, ON · Remote

CA$61 - CA$77/hr

PhD or doctoral candidate in Mathematics , Applied Mathematics , Statistics , or a closely related field. * Master's degree considered for candidates with exceptional depth in a specific subdomain.

Semtech

Senior NPI Test Engineer

Burlington, ON

Strong foundation in statistical process control and quality methodologies * Experience with PCB ... Master's degree or PhD in relevant engineering discipline * 8+ years in semiconductor test with ...

BMO Capital Markets

Audit Manager, Quantitative

Toronto, ON · On-site

CA$75K - CA$141K/yr

Masters degree or PhD in Quantitative Finance or related areas; * At least 2 years experience with quantitative analysis, research and/or statistical modelling; * Demonstrated analytical ability and ...

Autodesk

Senior Applied AI/ML Developer

Toronto, ON · On-site

Math/ or PhD in Computer Science, Statistics, Mathematics, Physics, Developer, Economics, Computational Linguistics or related fields * 3+ years of applicable work experience in ML * Hands-on ...

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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 Toronto, ON?

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

What job categories do people searching Phd In Statistics jobs in Toronto, ON look for?

The top searched job categories for Phd In Statistics jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Phd In Statistics jobs?

Cities near Toronto, ON with the most Phd In Statistics job openings:

Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Toronto, ON as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Computational Statistics Expert - PhD

Mercor

Toronto, ON • Remote

CA$70 - CA$90/hr

Full-time

Posted 4 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. 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 Mathematics Expert (R, Python, and Matlab/Scilab)
Type: Contract
Compensation: $70–$90/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems using specialized statistical, mathematical, or scientific software packages.
  • Evaluate AI's ability to compute reproducible numerical answers and carry out complex workflows.
  • Develop problems requiring strategic planning for information discovery and efficient problem-solving.
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty.
  • Work independently and asynchronously to refine problem designs based on feedback.

Qualifications

Must-Have

  • Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
  • Proven proficiency with at least one specialized software package through research publications or professional work.
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work independently in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple computational domains or specialized software packages.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.