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Executive Data Science Jobs in Toronto, ON (NOW HIRING)

Mercor

Data Science Expert - AI Evaluation

Toronto, ON · Remote

CA$120 - CA$170/hr

Data Science Expert Type: Contract Compensation: $120-$170/hour Location: Remote Role ... to executive stakeholders. * Exceptionally strong written communication. * Detail-oriented ...

CIBC

Manager, Data Science

Toronto, ON · Hybrid

What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to ... You lean in on executive guidance, and you inspire outcomes by making yourself heard. * You are a ...

CIBC US

Manager, Data Science

Toronto, ON · Hybrid

What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to ... You lean in on executive guidance, and you inspire outcomes by making yourself heard. * You are a ...

MasterCard

Director, Data Scientist

Toronto, ON · Hybrid

Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non technical audiences. Bachelor's degree in Computer Science, Engineering, Data Science ...

Td

Full Stack Data Science Engineer

Toronto, ON

CA$120K - CA$154K/yr

Demonstrated comfort engaging with senior executives and Csuite stakeholders, influencing decisions ... advanced analytics, data science, or applied AI/ML in domains such as financial services ...

DAC Group

Senior Data Scientist

Toronto, ON

Lead client consultations as the primary data science expert, translating complex statistical ... Present findings and recommendations directly to C-suite executives and senior stakeholders * Build ...

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Executive Data Science information

What skills and qualifications are needed to thrive as an executive data scientist?

To thrive as an Executive Data Scientist, you need deep expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with data platforms (such as SQL, Hadoop, or Spark), programming languages (like Python or R), and familiarity with data visualization tools is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic vision, leadership, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These competencies drive effective data-driven decision-making and ensure alignment between analytics initiatives and business objectives.

What is the role of an executive data scientist?

An executive data scientist leads data science initiatives within an organization, translating complex data insights into strategic decisions. They often oversee teams, communicate findings to stakeholders, and require strong skills in analytics, leadership, and business acumen, along with proficiency in tools like Python, R, or SQL. Their role involves aligning data projects with organizational goals and ensuring impactful results.

What is executive data science?

Executive Data Science refers to the leadership and management of data science initiatives within an organization. Professionals in this role are responsible for setting the strategic direction for data-driven projects, overseeing data teams, and ensuring that data science efforts align with business goals. They bridge the gap between technical teams and executives, translating analytical insights into actionable business strategies. Typically, Executive Data Scientists have a blend of technical expertise and strong business acumen, enabling them to make high-level decisions that impact the organization’s growth and innovation.

What is the difference between Executive Data Science vs Data Scientist?

AspectExecutive Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic, leadership-focused, often in executive officesHands-on data analysis, modeling, coding in technical teams
Employer & Industry UsageSenior roles in tech, finance, consulting, and large organizationsTech companies, startups, research institutions, various industries

Executive Data Science roles focus on strategic decision-making, leadership, and overseeing data initiatives, while Data Scientists are primarily involved in technical data analysis and modeling. Both roles require strong analytical skills, but Executive Data Scientists combine technical expertise with leadership responsibilities.

How does an executive data scientist typically collaborate with other departments to drive data-driven decision making?

Executive Data Scientists frequently work cross-functionally with departments such as marketing, product, finance, and operations to identify key business challenges and opportunities where data can provide strategic insights. They lead or advise interdisciplinary teams, translate complex analytics into actionable recommendations, and often present findings to senior leadership or stakeholders. Building strong relationships and understanding business objectives are crucial, as these collaborations enable the alignment of data science initiatives with organizational goals.
What are the most commonly searched types of Data Science jobs in Toronto, ON? The most popular types of Data Science jobs in Toronto, ON are:
What are popular job titles related to Executive Data Science jobs in Toronto, ON? For Executive Data Science jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Executive Data Science jobs in Toronto, ON look for? The top searched job categories for Executive Data Science jobs in Toronto, ON are:
Executive Data Science jobs near you
Infographic showing various Executive Data Science job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Science Expert - AI Evaluation

Mercor

Toronto, ON • Remote

CA$120 - CA$170/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: 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.