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

25-053 Data Architect

Pickering, ON · On-site +1

$85 - $100/hr

... remote) Job Overview JOB FUNCTION As a Data Architect you will be responsible for leading the Azure ... scientists, data engineers, data analysts and solution architects to develop data pipelines to feed ...

The Synthetic Population Engineer uses cutting edge data science techniques to continuously improve ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related ... Remote -Toronto, ON Opening Type: New Role If this resonates with you, we encourage you to apply ...

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

... remote) Job Overview As a Senior Data Developer, you will be responsible for building and ... Collaborate with data architect, business analysts, data scientists, data engineers, data analysts ...

... Pickering (100% Remote) Job Overview JOB FUNCTION As a Senior Data Developer, you will be ... Collaborate with data architect, business analysts, data scientists, data engineers, data analysts ...

Showing results 41-60

Remote Reddit Data Science information

What does a remote Reddit data scientist do?

A Remote Reddit Data Science job typically involves analyzing large sets of data from Reddit to uncover patterns, trends, and insights. Data scientists in this role may work on natural language processing, sentiment analysis, user behavior modeling, and content recommendation systems. They use programming languages like Python or R, as well as tools such as SQL, to gather and interpret Reddit data. The role often requires collaboration with other remote team members, communication of findings to stakeholders, and the ability to work independently. This position is ideal for those interested in social media analytics and remote work flexibility.

What skills and qualifications are needed to thrive as a remote Reddit data scientist?

To thrive as a Remote Reddit Data Scientist, you need expertise in statistics, machine learning, and programming languages like Python or R, typically supported by a degree in data science, computer science, or a related field. Familiarity with data analysis tools (such as SQL, Pandas, or Spark), cloud platforms, and experience with Reddit's API or similar social media data sources are commonly required. Strong problem-solving, communication, and the ability to work independently are crucial soft skills in this remote role. These skills are vital for uncovering actionable insights, collaborating effectively across teams, and driving data-driven decision-making in a distributed work environment.

How do remote Reddit data science teams typically collaborate on projects and share insights?

Remote Reddit Data Science teams often rely on a combination of digital collaboration tools, such as Slack, GitHub, and shared dashboards, to communicate findings and coordinate project tasks. Regular virtual meetings and sprint planning sessions help ensure alignment and transparency across team members. Since data scientists often work across product, engineering, and community teams, strong documentation and asynchronous updates are crucial for keeping everyone informed and driving projects forward. This collaborative structure allows team members to contribute insights, review code, and iterate on models efficiently, even when working from different locations.

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

AspectRemote Reddit Data ScienceRemote Reddit Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Data Analysis, Statistics, or related field; proficiency in data visualization
Work EnvironmentCollaborative teams, research-focused projects, advanced analyticsReporting, dashboard creation, data interpretation
Employer & Industry UsageTech companies, social media platforms, research institutionsMarketing firms, social media companies, analytics agencies
Common Search & ComparisonFocus on predictive modeling and complex data analysisFocus on data reporting and insights generation

Remote Reddit Data Science involves advanced analytics, machine learning, and research-oriented tasks, often requiring specialized degrees. In contrast, Remote Reddit Data Analyst roles focus on interpreting data, creating reports, and visualizations to inform decisions. Both roles are integral in social media and tech industries but differ in complexity and scope.

What are the most commonly searched types of Reddit Data Science jobs in Toronto, ON?

The most popular types of Reddit Data Science jobs in Toronto, ON are:

What are popular job titles related to Remote Reddit Data Science jobs in Toronto, ON?

For Remote Reddit Data Science jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Reddit Data Science jobs in Toronto, ON look for?

The top searched job categories for Remote Reddit Data Science jobs in Toronto, ON are:

Infographic showing various Remote Reddit Data Science job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Principal Product Manager - Ads Auction and Measurements (Remote - Canada)

Yelp, Inc

Toronto, ON • Remote

Full-time

Re-posted 6 days ago


Yelp rating

6.9

Company rating: 6.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

203rd of 247 rated software companies


Job description

Yelp connects people with great local businesses. Our platform is powered by a vibrant community contributing reviews and engaging with local businesses daily. We monetize primarily through advertising, helping millions of businesses connect with high-intent consumers. The Ads Auction system sits at the heart of this exchange, determining which ads are shown for every opportunity.

The Ads Marketplace team is responsible for the core engine that drives Yelp's advertising business. We develop and optimize the sophisticated auction, bidding, and pacing systems that balance advertiser value (ROI), consumer experience, and Yelp's monetization goals. We work at the intersection of economics, machine learning, and large-scale systems engineering.

As the Principal Product Manager for Ads Auction and Measurement, you will own the product strategy and execution for Yelp's core ad auction, bidding, pricing, budget pacing mechanisms, and corresponding measurements. This is a highly technical leadership role where you will guide the evolution of algorithms and systems that make real-time decisions maximizing value across multiple stakeholders. You will define how we measure the performance and impact of these complex systems, focusing on both short-term efficiency and long-term impact. You will partner closely with world-class engineering and applied science teams to design, experiment, implement, and iterate on auction dynamics and the metrics that guide our progress.

This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.


  • Auction Strategy & Roadmap: Define and drive the product roadmap for Yelp's ads auction, bidding algorithms, pricing mechanisms, and budget pacing systems, ensuring alignment with business objectives and competitive dynamics. Identify key levers for optimization and innovation.
  • Algorithm & System Optimization: Partner deeply with Engineering and Data Science to design, develop, and refine the auction-based ad selection system. Translate advertiser goals (ROI, leads, conversions), user experience, and monetization considerations into algorithmic requirements, and prioritize initiatives based on concrete data and expected impact.
  • Auction Measurement & Evaluation: Define and own the key metrics framework for evaluating auction health, efficiency, and the business impact. Drive the development of robust measurement for complex trade-offs (e.g., relevance vs. monetization, short-term vs. long-term effects). Design and interpret large-scale A/B tests.
  • Independent Data Analysis: Conduct hands-on analysis of large-scale auction and advertising datasets using tools like SQL and Python to uncover optimization opportunities, validate hypotheses, understand performance drivers, and inform product decisions.
  • Technical Product Development: Lead the end-to-end product lifecycle for auction-related features and improvements, from ideation and requirements definition through launch and iteration.
  • Cross-Functional Leadership: Serve as the product leader for the auction domain, collaborating effectively with Engineering, Data Science, Sales, Finance, and other Product teams. Communicate complex technical concepts and trade-offs clearly to diverse audiences.
  • Drive Business Impact: Directly influence Yelp's revenue and advertiser success by improving the efficiency and effectiveness of the core ad marketplace.

  • Experience: 8+ years of technical product management experience, preferably focused on auctions, bidding systems, search ranking, or monetization platforms within the online advertising (AdTech) industry.
  • Auction & Optimization Expertise: Strong theoretical understanding and practical experience with auction theory (e.g., VCG, GSP), optimization algorithms, statistical modeling, and machine learning concepts relevant to ad targeting and ranking.
  • Advanced Analytical & Data Skills: Proven ability to independently query, manipulate, and analyze large, complex datasets. Proficiency with SQL and data analysis tools/languages (e.g., Python, R) is required.
  • Statistical Rigor: Deep understanding of applied statistics, experimental design (A/B testing), causal inference, and methods for measuring statistical significance and inferring long-term impact.
  • Educational Background: Strong quantitative background; Master's or PhD in Computer Science, Statistics, Economics, Operations Research, Mathematics, or a related field is highly preferred.
  • Technical Fluency: Ability to engage deeply with engineers and data scientists on technical details of algorithms, system design, and data infrastructure.
  • Communication & Collaboration: Excellent communication and collaboration skills, with the ability to influence technical and non-technical stakeholders across various functions.
  • Problem Solving: Strong structured thinking and problem-solving abilities, capable of breaking down complex problems into actionable components.

  • The top end of the compensation range for this role exceeds $200,000 annually. There are a variety of factors that go into determining a compensation range, including but not limited to external market benchmark data and years of experience. The actual compensation offered may be influenced by a variety of factors, including the candidate’s experience and skill set. You may also be offered restricted stock units and benefits.
  • This opportunity has the option to be fully remote in all locations across Canada.
  • This role is posted to fill an existing position.
  • You can find more information about Yelp's five star benefits here!

At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”

We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.

We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 1-415-969-8488.

Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.

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