ZipRecruiter

Log In

2

Remote Optum Data Science Jobs in Toronto, ON (NOW HIRING)

Mercor

Data Science Expert - AI Evaluation

Toronto, ON · Remote

CA$120 - CA$170/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for real-world data science deliverables such as analyses, models, dashboards, and experiment readouts. * Score AI ...

New

Epistemix

Data Scientist

Toronto, ON · Remote

Follow advancements in data science, machine learning, and healthcare analytics Qualifications ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$55 - CA$80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with ... 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

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project ... PhD or advanced degree in Medicine / Healthcare , Statistics and Data Science , AI / ML Research ...

Mercor

Software Engineering Expert - AI/ML

Toronto, ON · Remote

CA$60 - CA$75/hr

Software & Data Science Expert Type: Contract Compensation: $60-$75/hour Location: Remote Commitment: 15-20 hours/week Role Responsibilities * Author tasks to test AI reasoning over technical ...

next page

Showing results 1-20

All JobsOptum Data Science JobsRemote Optum Data Science JobsRemote Optum Data Science Jobs in Toronto, ON

Remote Optum Data Science information

Can I work remotely as a remote optum data science?

Remote data science roles at Optum typically offer the flexibility to work from home, depending on the company's policies and the specific position. Candidates should have strong analytical skills, proficiency in tools like Python or R, and good communication abilities to succeed in a remote environment. Availability of remote work may vary by team and project requirements.

What is the difference between Remote Optum Data Science vs Remote Optum Data Analyst?

AspectRemote Optum Data ScienceRemote Optum Data Analyst
Required CredentialsTypically requires a master's or PhD in Data Science, Statistics, or related fieldsBachelor's degree in Data Analysis, Statistics, or related fields often sufficient
Work EnvironmentFocus on advanced modeling, machine learning, and predictive analyticsData cleaning, reporting, and basic analysis tasks
Employer & Industry UsageUsed in healthcare analytics, predictive modeling, and research within OptumUsed for reporting, data management, and supporting decision-making processes

Remote Optum Data Science roles involve developing complex models and algorithms, requiring advanced degrees and technical expertise. In contrast, Remote Optum Data Analyst positions focus on data reporting and basic analysis, often requiring a bachelor's degree. Both roles support healthcare analytics but differ in scope and technical depth.

What are the most commonly searched types of Optum Data Science jobs in Toronto, ON? The most popular types of Optum Data Science jobs in Toronto, ON are:
What are popular job titles related to Remote Optum Data Science jobs in Toronto, ON? For Remote Optum Data Science jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Optum Data Science jobs in Toronto, ON look for? The top searched job categories for Remote Optum Data Science jobs in Toronto, ON are:
Remote Optum Data Science jobs near you

Data Science Expert - AI Evaluation

Mercor

Toronto, ON • Remote

CA$120 - CA$170/hr

Full-time

Posted yesterday

New

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: Data Science Expert
Type: Contract
Compensation: $120–$170/hour
Location: Remote

Role Responsibilities

  • Design precise, task-specific grading criteria for real-world data science deliverables such as analyses, models, dashboards, and experiment readouts.
  • Score AI-generated and human work samples against criteria with detailed written justifications for every score.
  • Apply consistent, evidence-based judgment to ensure scores are reproducible and defensible.
  • Incorporate structured feedback from senior reviewers and iterate quickly on your work.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • 5+ years of professional data science experience in industry.
  • Background in business operations, product, or growth data science at top-tier technology companies.
  • Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders.
  • Exceptionally strong written communication.
  • Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers.

Preferred

  • Prior experience with AI training, evaluation, or human-data projects.

Application Process (Takes 20–30 mins to complete)

  • Submit your resume or relevant technical background to get started.
  • Qualified applicants may be asked to complete a brief technical assessment or submit additional information.

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.