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Staff Data Scientist, Ads

RedditRemote - Ontario, CanadaFull-timeSalary not listed · Typical pay in CanadaPosted Nov 10, 2026

Reddit has an opening for a Staff Data Scientist, Ads as a remote role open to applicants in Canada. It is listed as a full-time, staff/principal-level position.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

Reddit has an opening for a Staff Data Scientist, Ads as a remote role open to applicants in Canada. It is listed as a full-time, staff/principal-level position.

Reading the advert, the employer asks for 10+ years of experience.

Skills and tools named in the text include Python, SQL, machine learning, statistics and research.

No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.

Benefits mentioned in the advert: health insurance, pension or retirement plan, parental leave and learning budget.

Dev Global Jobs found this job on Greenhouse on Nov 10, 2026.

Employer
Reddit
Location
Remote (Canada)
Job type
Full-time
Level (from the title)
staff/principal-level
Pay
Not stated by the employer
Experience asked
10+ years
Found
Nov 10, 2026 on Greenhouse
Employer text
906 words, about 4 min to read
Skills named in the advert
PythonSQLmachine learningstatisticsresearch
Before you apply
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  • Compare your own experience with the 10+ years the advert asks for, and show it clearly near the top of your CV.
  • Mirror the skills the advert names (Python, SQL, machine learning and statistics) in your CV where you really have them; applicant tracking systems look for these words.
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Only on Dev Global Jobs

DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Nov 10, 2026
Pay benchmark
Average wage, Canada
CAD 85,588 average / year

Source: OECD Average annual wages, 2025

Job description

About the role

Full text from the employer, as published on Greenhouse, arranged into sections. Nothing added or removed.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

01About the Ads Data Science Team

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.

We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

02About the Role

Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality.

This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization.

03Responsibilities

  • Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
  • Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.
  • Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.
  • Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.
  • Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.

04Qualifications

  • Required:
    • Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
    • For M.S. holders: 10+ years of industry experience in applied science or data science roles
    • For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
    • Deep understanding of the ads ecosystem
    • Demonstrated expertise in at least one of the following areas:
      • Measurement & Experimentation at Scale (with focus on lift and attribution)
      • Identity Graph Creation & Resolution Methodology and Infrastructure
      • Predictive Modeling with Signal Loss
    • Advanced proficiency in statistical programming (Python or R) and SQL
    • Experience with machine learning or optimization techniques
    • Strong understanding of experimental design, causal inference, or A/B testing methodologies
    • Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners
    • Experience working in fast-paced, ambiguous environments with cross-functional teams

05Benefits

  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Comprehensive Medical Benefits & Health Care Spending Account
  • Registered Retirement Savings Plan with matching contributions
  • Income Replacement Programs
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave

#LI-Remote

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

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