---
title: 'Staff Data Scientist, Ads at Reddit'
canonical: 'https://feeny.ai/job/staff-data-scientist-ads-reddit-ontario-bhah9epsmqwt'
type: 'job'
last_seen: '2026-09-06'
---

# Staff Data Scientist, Ads at Reddit

- **Company:** Reddit
- **Location:** Ontario, Canada
- **Work type:** remote
- **Posted:** 2026-03-16
- **Last confirmed live:** 2026-09-06
- **Apply:** https://job-boards.greenhouse.io/reddit/jobs/7721851

## 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](http://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](https://redditinc.com/policies/candidate-privacy-policy).

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.

## About Reddit

## Company Overview
- **One-liner**: Reddit is the heart of the internet, a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions.
- **Entity Type**: Public (NYSE: RDDT, IPO March 2024)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2005
- **Founders**: Steve Huffman, Alexis Ohanian (original co-founders; Huffman remains CEO)

## Core Business
- **Primary industry**: Social Networking Platforms
- **Target customers**: B2C (users), B2B (advertisers, data licensing partners). Massive global consumer audience; advertisers range from SMB to enterprise.
- **Mission**: To empower communities, and make their knowledge accessible to everyone.

## Products & Services
- **Reddit Platform**: The core social network consisting of thousands of user-created subreddits. Users post, vote, comment, and build communities around any topic. Free to use.
- **Reddit Ads**: Self-serve and managed advertising solutions including display, video, and promoted posts. Key revenue driver.
- **Reddit Premium**: Subscription offering ad-free browsing, exclusive badges, and access to a private subreddit.
- **Reddit Public Access (API)**: Data feeds and APIs used by third-party developers, researchers, and increasingly for AI training data licensing.
- **KarmaLab**: Reddit’s in-house creative agency that helps brands create native content and campaigns.

## Market Standing
- **Valuation/Market Cap**: Publicly traded company; market cap fluctuates with stock price (specific figure not provided in search results). As of 2025 annual revenue of $2.2B, the company is valued in the tens of billions.
- **Key Metric**: Annual Revenue: ~$2.2B (latest fiscal year). Daily Active Uniques: 127M (as of March 31, 2026). Weekly Active Uniques: 493M+.
- **Notable Investors/Partners**: Parent company Advance Publications, Inc.; Tencent (led Series D); various institutional and retail investors post-IPO.
- **Growth Signals**: Headcount grew 21.2% YoY to 3,009 employees. Active job postings up 18.9% YoY. Revenue scaling rapidly as ad business grows toward $1B target. International expansion across 50+ countries.

## Competitive Advantages
- **Unique community-driven content**: User-generated, authentic, and highly engaged communities that are difficult to replicate. Over 100,000 active subreddits.
- **Data moat**: Massive archive of human conversations and knowledge (25B+ posts & comments) – increasingly valuable for AI training and research.
- **Brand recognition and cultural influence**: Reddit is a top-10 website globally, driving real-world impact (e.g., WallStreetBets, AMAs).
- **Moderator ecosystem**: Volunteer moderators curate high-quality content at scale, reducing content moderation costs while maintaining quality.

## Strategic Focus
- **Growing the advertising business**: Scaling ad revenue to $1B+ through improved ad products, self-serve tools, and international sales expansion.
- **AI and data licensing**: Monetizing Reddit’s unique content corpus through partnerships with AI companies (e.g., Google) and building AI-powered features.
- **International expansion**: Growing user base and ad sales in key markets (UK, Canada, Portugal, Netherlands, India, etc.).
- **Product innovation**: Investing in video, real-time features, and improving the user experience to retain and grow daily active users.

## Why Work Here
- **Culture**: Described as fun, quirky, and authentic. Core values include “Reddit’s Mission First,” “Add Value,” “Play to Win,” “Evolve,” and “Default Open.”
- **Benefits**: Comprehensive health benefits, flexible vacation & global days off, family planning funds, 4+ months paid parental leave, personal & professional development funds, workspace/home office benefits.
- **Employee Resource Groups (ERGs)**: Active ERGs including Ability, Allyship, Black People Reddit (BPR), Kaleidoscope, LGBTQ Snoo, OLE, RAN, Trans@Reddit, Women Eng, Women in Product, Women of Reddit.
- **Work environment**: Hybrid/office policy not explicitly stated in search results; many roles are likely based in San Francisco or other offices (NYC, Toronto, etc.). Engineering culture emphasizes autonomy, impact, and building products used by millions.
- **Career growth**: Rapid headcount growth and promotion opportunities; strong alumni network (Meta, Google, Amazon, etc.). Employee rating 3.8/5 on LinkedIn (compensation 4.1, culture 3.2, career 3.2).

## Sources
1. [redditinc.com](https://redditinc.com/careers) – Careers page with mission, values, benefits, ERGs, departments.
2. [job-boards.greenhouse.io](http://job-boards.greenhouse.io/reddit) – Current job openings.
3. [linkedin.com](https://www.linkedin.com/company/reddit-com) – Company profile with financials, headcount, revenue, funding, employee data.
4. [investor.redditinc.com](https://investor.redditinc.com/overview/default.aspx) – Investor relations with key metrics (DAU, WAU, communities).
5. [sec.gov](https://www.sec.gov/Archives/edgar/data/1713445/000171344526000062/redditinc10-k2025.pdf) – 2025 Form 10-K with corporate info, employee count, values, risk factors.

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