Publié il y a 6 mois
Staff Data Scientist, Marketing
Ontario
En bref
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.
Responsabilités :
- 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
Résumé des exigences :
- 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
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · greenhouse
- Date publiée par l’employeur
- 2026-05-15
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-11-06
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Expérience | 6 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Maîtrise (exigé), Doctorat (préféré) |
| Domaines d’études | Statistics, Economics, Mathematics |
| Avantages mentionnés | Congés payés généreux, Horaire flexible, Congé parental généreux, Régime de retraite, Mieux-être |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
The heart of the internet, where millions gather for conversation and community.
Description complète de l’entreprise
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.
- Abonnés LinkedIn
- 484 438
- Personnes associées sur LinkedIn
- 4 682
- Bureaux déclarés
- San Francisco, California 94103, US
- Catégories d’activité
- Social Media
- News
- Content
- Social Network
- Autres noms enregistrés
- Reddit, Inc.
- Spécialités
- Software Engineering
- Full-Stack Engineering
- Frontend Engineering
- Backend Engineering
- Social Media
- Data Science
- Mobile Apps
- and Online Advertising
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 1 329 049 748
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
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…
| Champ | Valeur |
|---|---|
| Secteur | Social Networking Platforms |
| Taille | 1,001-5,000 employees |
| Siège social | San Francisco, California |
| Type d’organisation | Public Company |
| Fondée en | 2005 |
| Spécialités | Software EngineeringFull-Stack EngineeringFrontend EngineeringBackend EngineeringSocial MediaData Science Mobile Appsand Online Advertising |
| Offres sur Jobsy | 12 |
| Voir la page |
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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