Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 6
SQL @ 6
A/B Testing @ 7
R @ 6
Statistics @ 4
Machine Learning @ 4
Data Science @ 4
Communication @ 6
Mathematics @ 4
Experimentation @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Location: US remote-friendly
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 data science methods. The team works on problems in ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement.
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 high-impact, high-autonomy role you'll take deep ownership of a problem space within advertising, specializing in measurement, identity, and signal quality. You will influence strategic direction, set a high technical bar, and drive cross-functional initiatives across critical focus areas in the Ads organization.
Responsibilities
- Design the future of ads identity: develop and employ probabilistic models for identity resolution; design 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 strategy for new signal sources, mathematically quantify the value of signals, and work with modeling teams to incorporate them into predictive models to improve bidding efficiency and ROAS.
- Define ground truth & evaluation frameworks: solve validation challenges for identity and measurement, design objective functions and truth sets used to train models and measure incremental impact of the identity graph.
- Lead through cross-functional and technical influence: collaborate with engineering, product, and sales to align strategic goals, translate insights into action, drive 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 industry experience in applied science or data science roles.
- For Ph.D. holders: 6+ years 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 (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.
Pay Transparency
The base salary range for this position is:
$217,000 - $303,900 USD
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, may also be eligible to receive a commission. Reddit offers a wide range of benefits to U.S.-based employees. Interviews in select roles and locations may be recorded, transcribed and summarized by AI; candidates may opt out prior to interviews.