Staff Data Scientist - Ads Measurement, Signals, Privacy

Reddit; United States; On-site; USD 217,000 - 303,900; Full time

Benefits offered by this job

Healthcare benefits

401(k) with employer match

Global benefits program

Family planning support

Gender-affirming care

Mental health & coaching

Flexible vacation

Parental leave

Job summary

Reddit is seeking a Staff Data Scientist to advance the intelligence powering the advertiser experience. You will shape the strategic direction of the Ads organization, set a high technical bar, and drive cross-functional initiatives across critical focus areas.

You will design probabilistic identity models, lead lift experiments, and work with modeling teams to improve bidding efficiency and ROAS. This role reports to the Ads Data Science team and offers high autonomy.

Qualifications

• Advanced degree in a quantitative field and strong modeling background.
• Experience with design and analysis of experiments at scale.
• Expertise in statistics, causal inference, or lift measurement.

Responsibilities

• Design probabilistic models for identity resolution across on- and off-platform signals.
• Own Lift design and experimentation for ads, building scalable testing infra.
• Improve predictive performance by integrating new signal sources into models.
• Define ground truth and evaluation frameworks to measure identity and measurement accuracy.
• Collaborate cross-functionally with engineering, product, and sales; mentor teams.

Skills

Python or R

SQL

Experiment design

ML techniques

Communication skills

Cross‑functional collaboration

Education

Master’s degree in Statistics/Math/Physics/Economics/OR

PhD considered

Tools

A/B testing platforms

Job description

Reddit is a community of communities built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.

Overview

The Ads Data Science team seeks a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this high‑impact, high‑autonomy role you will shape the strategic direction of the Ads organization, set a high technical bar, and drive cross‑functional initiatives across multiple critical focus areas.

Responsibilities

• Design the Future of Ads Identity: Develop and employ probabilistic models for identity resolution, linking 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 for large‑scale, high‑velocity, low‑bias testing for advertisers.
• Maximize Signal for Predictive Performance: Define the strategy for new signal sources, mathematically quantify their value, 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 by designing objective functions and truth sets used to train models and measure the incremental impact of the 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. Mentor others and champion best practices across modeling, experimentation, and measurement.

Qualifications

• Advanced degree (Master’s or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research.
• For M.S. holders: 10+ years of relevant applied science or data science experience; for Ph.D. holders: 6+ years of experience.
• Deep understanding of the ads ecosystem.
• Must demonstrate expertise in at least one of the following areas:
  • Measurement & Experimentation at Scale (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

• Comprehensive healthcare benefits and income replacement programs.
• 401(k) 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.

Compensation

Base salary range for this role is $217,000–$303,900 USD. The role may also be eligible for equity (restricted stock units) and, depending on the specific level, a commission.

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 hiring procedures. Must‑do must‑not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not mandatory imperatives must not