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Staff Data Scientist, Ads

Pay
Pay not listed
Work setting
Remote — work setting source
Listed location: Remote - Ontario, Canada
Read the full posting
Employment
Not stated

What you’ll work on

Full posting

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.

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.

  • Design probabilistic identity resolution methods linking on- and off-platform actions

  • Own statistical rigor for Brand and Conversion Lift products and experiment design

  • Quantify new signal sources and add them to bidding and predictive models

  • Define truth sets and objective functions to validate identity and measurement

  • Mentor others and set best practices in modeling, experimentation and measurement

From the employer’s posting
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.
Develop/employ probabilistic models for identity resolution.
Own the statistical rigor behind Reddit’s Brand and Conversion Lift products.
You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models
Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.
Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.

What you’ll bring

All qualifications

Core experience

  • Deep understanding of the ads ecosystem
  • Experience with machine learning or optimization techniques
  • Demonstrated expertise in at least one of the following areas:
  • Strong understanding of experimental design, causal inference, or A/B testing methodologies
  • Experience working in fast-paced, ambiguous environments with cross-functional teams
Qualification wording
Deep understanding of the ads ecosystem
Experience with machine learning or optimization techniques
Demonstrated expertise in at least one of the following areas:
Strong understanding of experimental design, causal inference, or A/B testing methodologies
Experience working in fast-paced, ambiguous environments with cross-functional teams
Education & alternatives
- 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 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

Benefits in the posting

Full benefits wording
  • 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

From the employer’s posting.

About Reddit

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.

In the employer’s words · Read in context

Apply at Reddit

Posting record

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Open 6 monthsWe first saw this posting 206 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Apr 14, 2026206 days ago
Recorded sightings
373
Last seen by us
Nov 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 206

Up longer than most. Similar jobs usually come down between day 7 and day 57.

Well past Reddit’s usual: its jobs come down by about day 48.

From 10,545 similar postings that came down, and 33 of Reddit’s. Coming down is not always a hire.

Reddit is hiring

43 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is steady
  • Takes jobs down at a usual pace
  • 2% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
Where the posting names them
- Predictive Modeling with Signal Loss - Advanced proficiency in statistical programming (Python or R) and SQL - Experience with machine learning or optimization techniques

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Applying through Greenhouse

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Has Reddit posted this job before?

Yes. We’ve followed one other Staff Data Scientist, Ads job there since April 2026. It is still up.

  1. Place not statedStill up after 207 days, first seen Apr 14
  2. This jobUp 207 days so far, first seen Apr 14

About Reddit

People
About 2,555 in 2025, up 14% from the year before.Annual report (SEC Form 10-K)
Company
Listed as RDDT.

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,815.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

About 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.

About 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.

Responsibilities:

  • 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.

Qualifications:

  • 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

Benefits:

  • 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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Location & working pattern

Remote - Ontario, Canada

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.
More source context
- 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.
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