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 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.
Location: remote-friendly or any office location - SF, LA, CHI, NY
Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
About the Role:
Reddit's Ads Data Science team is seeking a highly motivated Staff Data Scientist to revolutionize our advertising platform through cutting-edge experimentation. In this pivotal role, you'll spearhead the design, implementation, and analysis of complex A/B tests and advanced experimentation methodologies, driving significant improvements in advertiser performance and user experience. You'll be a strategic partner, collaborating closely with product managers, engineers, and fellow data scientists to shape a forward-thinking experimentation roadmap. As a thought leader, you'll champion best practices, driving the adoption of novel techniques in modeling, statistical frameworks, and causal inference, while mentoring junior data scientists. You'll thrive in a dynamic, cross-functional environment, partnering with a world-class team to push the boundaries of data-informed decision-making and product creation within Reddit's two-sided ads marketplace. If you are passionate about experimentation, eager to challenge the status quo, and driven to make a tangible impact, join us in shaping the future of Reddit ads.
Responsibilities:
- Revolutionize Ad Performance with Advanced Experimentation: Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian approaches and causal inference to optimize complex ad strategies
- Deliver Data-Driven Strategic Advantage: Extract critical insights through in-depth analysis, developing automated tools and actionable recommendations to drive impactful decisions Define and refine key metrics to empower product teams with a deeper understanding of feature performance
- Influence Product Strategy Through Data: Partner with product and engineering to shape experiment roadmaps and drive data-informed product development
- Champion Experimentation Excellence: Provide technical leadership, mentor junior data scientists, and establish best practices for experimentation
- Foster Cross-Functional Collaboration: Drive impactful results by collaborating effectively with product, engineering, sales, and marketing teams
Required Qualifications:
- M.S.: 10+ years of industry data science experience, emphasizing experimentation and causal inference.
- Ph.D.: 6+ years of industry data science experience, emphasizing experimentation and causal inference
- Master's or Ph.D. in Statistics, Economics, Computer Science, or a related quantitative field
- Expertise in experimental design, A/B testing, and causal inference
- Proficiency in statistical programming (Python/R) and SQL
- Demonstrated ability to apply statistical principles of experimentation (hypothesis testing, p-values, etc.)
- Experience with large-scale data analysis and manipulation
- Strong technical communication skills for both technical and non-technical audiences
- Ability to thrive in fast-paced, ambiguous environments and drive action
- Desire to mentor and elevate data science practices
- Experience with digital advertising and marketplace dynamics (preferred)
- Experience with advertising technology (preferred)
Benefits:
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k Match
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Reddit Global Days off
- Generous paid Parental Leave
- Paid Volunteer time off
#LI-Remote
Pay 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 https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is:
$217,000—$303,900 USD
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 you need assistance or an accommodation due to a disability, please contact us at [email protected].
Top Skills
Similar Jobs
What you need to know about the Charlotte Tech Scene
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
