Staff Data Scientist, Ads

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 116 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit

www.redditinc.com

.

Location: Us Remote-friendly

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.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About The Ads Data Science Team

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 DS methods.

We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

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 role, you'll take deep ownership of a high-impact problem space within advertising, specializing in a critical area such as advertiser growth, measurement, new advertiser experience, ads inventory expansion, ad formats, etc.

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

Drive Strategic Impact Across Ads Domains

Take end-to-end ownership of complex problem spaces such as funnel acceleration and advertiser LTV.

Develop Advanced Models and Frameworks

:  Build and deploy predictive models, optimization frameworks, and decision-support systems that power Reddit’s strategic investments in advertiser acquisition and retention.

Translate Ambiguity Into Measurable Outcomes

Define core business and performance metrics, and design robust methodologies to measure the impact of product and modeling changes on advertiser ROI and user experience.

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.

Drive Innovation in Ad Systems

: Leverage causal inference, economic analysis, and large-scale data systems to solve novel problems in a rapidly evolving ad ecosystem.

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

Platform experience and a deep understanding of the ads ecosystem

Demonstrated Expertise In At Least One Of The Following

Ads Creative & Format Evaluation

Measurement & Experimentation at Scale

Consumer or Customer Growth and Lifecycle Analysis

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

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

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.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our

Candidate Privacy Policy for Potential Employees and Contractors

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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, due to a disability, you need an accommodation during the interview process, please let your recruiter know.