Staff Data Scientist – Ads Measurement, Signals, Privacy

🔥 0 minutes ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• Develop and employ probabilistic models for identity resolution • Design methodology linking on-platform and off-platform actions while honoring privacy • Own statistical rigor for Reddit’s Brand and Conversion Lift products • Innovate experimental design and develop infrastructure for large-scale, high-velocity, low-bias advertiser testing • Define strategy for new signal sources and quantify their value mathematically • Work with modeling teams to incorporate signals into predictive models and improve bidding efficiency and ROAS • Design objective functions and truth sets for model training and incremental-impact measurement • Collaborate with engineering, product, and sales on strategic goals and execution • Mentor others and champion best practices across modeling, experimentation, and measurement

🎯 Requirements

• 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 Measurement & Experimentation at Scale (with focus on lift and attribution), Identity Graph Creation & Resolution Methodology and Infrastructure, or 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

• Comprehensive Healthcare Benefits and Income Replacement Programs • 401k with Employer Match • 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 • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave