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Staff Data Scientist, Marketing

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 is looking for a highly experienced Staff Data Scientist to lead the strategy and technical execution of our Marketing Intelligence efforts.

This is a high-autonomy, high-impact role where you will set the long-term strategic goals for Reddit’s marketing measurement, influencing senior leadership and defining how we value our brand and performance efforts.

  • Set the 2–3 year technical roadmap for marketing measurement

  • Build and refine media mix and multi-touch attribution models

  • Design incrementality and geo-holdout experiments

  • Translate data insights into budget shifts with Marketing, Growth, and Finance

  • Mentor junior scientists and set the technical bar for code quality

From the employer’s posting
Reddit is looking for a highly experienced Staff Data Scientist to lead the strategy and technical execution of our Marketing Intelligence efforts. In this role, you will be the primary architect of how we measure and optimize Reddit’s marketing spend. You will focus on two critical flywheels: B2B Marketing (acquiring and retaining advertisers) and B2C Growth (acquiring and engaging new Redditors).
This is a high-autonomy, high-impact role where you will set the long-term strategic goals for Reddit’s marketing measurement, influencing senior leadership and defining how we value our brand and performance efforts.
Define the 2–3 year technical roadmap for marketing measurement.
Build and refine Media Mix Models (MMM) and Multi-Touch Attribution (MTA) systems
Lead the design of complex "always-on" incrementality testing and geo-holdout experiments.
Collaborate deeply with Marketing, Growth, and Finance to translate complex data insights into actionable budget shifts.
Mentor junior scientists and set the technical bar for code quality and statistical rigor across the Marketing organization.

What you’ll bring

All qualifications

Core experience

  • Experience building production-grade data pipelines and using machine learning for predictive modeling (e.g., churn prediction, lead scoring).

Preferred experience

  • Experience with Bayesian structural time series or causal inference libraries.
Qualification wording
Technical Skills: Advanced proficiency in Python or R and SQL. Experience building production-grade data pipelines and using machine learning for predictive modeling (e.g., churn prediction, lead scoring).
Experience with Bayesian structural time series or causal inference libraries.
Education & alternatives
Minimum Qualifications: - Education: Advanced degree (Master’s or Ph.D.) in Statistics, Economics, Mathematics, or a related quantitative field. - Experience:
- For M.S. holders: 10+ years of industry experience in marketing science, growth data science, or econometrics. - For Ph.D. holders: 6+ years of industry experience. - Domain Expertise: Deep understanding of the marketing ecosystem, including hands-on experience with Marketing Mix Modeling (MMM), Incrementality Testing, and Customer Lifetime Value (LTV) prediction.

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.

Apply at Reddit

Posting record

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Open 5 monthsWe first saw this posting 176 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
May 15, 2026176 days ago
Recorded sightings
278
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 176

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 10,558 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
- Domain Expertise: Deep understanding of the marketing ecosystem, including hands-on experience with Marketing Mix Modeling (MMM), Incrementality Testing, and Customer Lifetime Value (LTV) prediction. - Technical Skills: Advanced proficiency in Python or R and SQL. Experience building production-grade data pipelines and using machine learning for predictive modeling (e.g., churn prediction, lead scoring). - Strategic Communication: Proven track record of influencing C-suite stakeholders and "translating" complex statistical concepts into business strategy.

Your next step

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

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Already applied? Track this application

Has Reddit posted this job before?

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

  1. Place not statedStill up after 186 days, first seen May 5
  2. This jobUp 176 days so far, first seen May 15

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.

Location: At Reddit we continue to grow our teams with the best talent. We're completely remote friendly.

Team Description:

The Marketing Science team at Reddit leverages data to maximize the impact of Reddit’s own marketing investments. We serve as the engine behind our growth, using advanced experimentation, causal inference, and econometrics to understand what drives users to Reddit and what brings advertisers to our platform. We work at the intersection of brand building and performance marketing, ensuring every dollar spent is an investment in the long-term health of our ecosystem.

Role Description:

Reddit is looking for a highly experienced Staff Data Scientist to lead the strategy and technical execution of our Marketing Intelligence efforts. In this role, you will be the primary architect of how we measure and optimize Reddit’s marketing spend. You will focus on two critical flywheels: B2B Marketing (acquiring and retaining advertisers) and B2C Growth (acquiring and engaging new Redditors).

This is a high-autonomy, high-impact role where you will set the long-term strategic goals for Reddit’s marketing measurement, influencing senior leadership and defining how we value our brand and performance efforts.

Responsibilities:

  • Set Long-Term Marketing Strategy: Define the 2–3 year technical roadmap for marketing measurement. Establish the "North Star" metrics and frameworks that determine how Reddit allocates hundreds of millions in marketing budget.
  • Optimize Marketing ROI: Build and refine Media Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to mathematically quantify the incremental impact of marketing spend.
  • Bridge B2B & B2C Growth: Design unified frameworks to optimize marketing aimed at both new advertisers (driving revenue) and new users (driving engagement), identifying synergies where brand awareness for one fuels growth for the other.
  • Advance Causal Inference & Experimentation: Lead the design of complex "always-on" incrementality testing and geo-holdout experiments. Develop methodologies to measure the long-term "halo effect" of brand marketing on organic growth.
  • Lead Through Influence: Collaborate deeply with Marketing, Growth, and Finance to translate complex data insights into actionable budget shifts. 
  • Be the Technical Guide for the Team: Mentor junior scientists and set the technical bar for code quality and statistical rigor across the Marketing organization.

Minimum Qualifications:

  • Education: Advanced degree (Master’s or Ph.D.) in Statistics, Economics, Mathematics, or a related quantitative field.
  • Experience:
    • For M.S. holders: 10+ years of industry experience in marketing science, growth data science, or econometrics.
    • For Ph.D. holders: 6+ years of industry experience.
  • Domain Expertise: Deep understanding of the marketing ecosystem, including hands-on experience with Marketing Mix Modeling (MMM), Incrementality Testing, and Customer Lifetime Value (LTV) prediction.
  • Technical Skills: Advanced proficiency in Python or R and SQL. Experience building production-grade data pipelines and using machine learning for predictive modeling (e.g., churn prediction, lead scoring).
  • Strategic Communication: Proven track record of influencing C-suite stakeholders and "translating" complex statistical concepts into business strategy.
  • Adaptability: Experience working in fast-paced environments where you must navigate ambiguity and build frameworks from the ground up.

Preferred Qualifications:

  • Experience with Bayesian structural time series or causal inference libraries.
  • Previous experience in a high-growth marketplace or social media platform.
  • A passion for the Reddit community and an understanding of our unique "Ads-as-Content" philosophy.

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. Location: At Reddit we continue to grow our teams with the best talent. We're completely remote friendly. Team Description:
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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