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Posted 6 months ago

Staff Data Scientist, Marketing

@ Reddit

Ontario

RemoteFull-time6+ years experience
Apply now
SIGNALS

Overview

Reddit is hiring a Staff Data Scientist, Marketing, to lead strategy and technical execution of its Marketing Intelligence efforts. The role sets the 2–3 year measurement roadmap, builds marketing mix and attribution models, and designs causal inference experiments across B2B and B2C growth. The posting states the role is completely remote friendly.

Responsibilities:

  • Define 2–3 year marketing measurement technical roadmap
  • Build media mix and multi-touch attribution models
  • Design unified B2B and B2C growth frameworks
  • Lead always-on incrementality and geo-holdout experiments
  • Translate data insights into budget shifts with leadership

Requirements summary:

  • Master's or PhD in statistics, economics or quantitative field
  • 10+ years (MS) or 6+ years (PhD) industry experience
  • Hands-on MMM, incrementality testing and LTV prediction
  • Advanced Python or R and SQL skills
  • Track record influencing C-suite stakeholders

Tools & skills

Benefits mentioned

Health insuranceRetirement planPaid time offParental leave
Source and dates

Employer career site / ATS feed · greenhouse

Employer posting date
2026-05-15
First seen by our source
2026-10-08
Source record updated
2026-11-06

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentData & analytics
Experience6+ years
Hours per week40 (estimated)
Work settingHome
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationMaster’s degree (required), Doctorate (preferred)
Fields of studyStatistics, Economics, Mathematics
Perks mentionedGenerous paid time off, Flexible hours, Generous parental leave, Retirement plan, Wellness

Summary and details written by AI from the posting; the employer’s posting is the authority.

Reddit

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

The heart of the internet, where millions gather for conversation and community.

Full company description

Reddit is the heart of the internet, where millions of people get together to talk about any topic imaginable. Share, vote, and decide what matters in everything from breaking news, to fandoms, lifehacks, gaming, sports, health, and the internet’s cutest animals. With over 100,000 subreddit communities about every topic you could think of (and thousands more you couldn’t), whatever it is, there’s a place for you on Reddit. Interested in joining our growing team? Check out redditinc.com/careers.

LinkedIn followers
484,438
People associated on LinkedIn
4,682
Reported office locations
  • San Francisco, California 94103, US
Business categories
  • Social Media
  • News
  • Content
  • Social Network
Other recorded names
  • Reddit
  • Reddit, Inc.
Specialties
  • Software Engineering
  • Full-Stack Engineering
  • Frontend Engineering
  • Backend Engineering
  • Social Media
  • Data Science
  • Mobile Apps
  • and Online Advertising
Profile identifies a recruitment agency
No
Reported total investment
1,329,049,748

Currency and observation date were not supplied; this is not a current valuation or a funding round.

Reddit is the heart of the internet, where millions of people get together to talk about any topic imaginable. Share, vote, and decide what matters in everything from breaking news, to fandoms, lifehacks, gaming, sports, health, and the internet’s cutest animals. With over 100,000 subreddit communities about every topic you could think of (and thousands more you couldn’t), whatever it is, there’s a place for you on…

FieldValue
IndustrySocial Networking Platforms
Company size1,001-5,000 employees
HeadquartersSan Francisco, California
Organization typePublic Company
Year founded2005
SpecialtiesSoftware EngineeringFull-Stack EngineeringFrontend EngineeringBackend EngineeringSocial MediaData Science Mobile Appsand Online Advertising
Open jobs on Jobsy13
LinkedInView page
Job description

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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