Staff Data Scientist - Ads Measurement, Signals, Privacy

Reddit; Oregon; Híbrido; USD 217.000 - 304.000; Tempo integral

Benefícios oferecidos por esta vaga

Healthcare benefits

401k with employer match

Global benefits

Family planning support

Gender-affirming care

Mental health & coaching

Flexible vacation & volunteer time off

Parental leave

Resumo da vaga

Reddit Ads Data Science is seeking a Staff Data Scientist to advance advertiser intelligence. You will own high-impact problems in measurement, identity, and signal quality, guiding modeling, experimentation, and cross-functional execution across ads teams.

The role emphasizes leadership, technical rigor, and high autonomy in a fast-paced environment, with opportunities to influence strategic direction across multiple focus areas.

Qualificações

• Advanced degree in statistics, mathematics, physics, economics or operations research.
• For MS holders: 10+ years in applied science/data science roles.
• For PhD holders: 6+ years in applied science/data science roles.
• Deep understanding of the ads ecosystem.

Responsabilidades

• Design the Future of Ads Identity using probabilistic identity resolution.
• Own Lift methodologies and experimentation for Brand and Conversion Lift.
• Maximize signal for predictive performance and ROAS.
• Define ground truth and evaluation frameworks for identity graphs.
• Lead cross-functional collaboration with engineering, product, and sales.

Conhecimentos

Statistical modeling

Python

R

SQL

Experiment design

Communication

Formação

Master's or PhD in Statistics/Math/Physics/Economics/OR

Ferramentas

Python

R

SQL

Descrição da vaga

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, visitReddit'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

• 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

#LI-RemotePay Transparency:

This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit

The base salary range for this position is:$217,000-$303,900 USD

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.

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