Reddit Logo

Reddit

Staff Data Scientist, Ads

Reposted Yesterday
Remote or Hybrid
Hiring Remotely in United States
217K-304K Annually
Senior level
Remote or Hybrid
Hiring Remotely in United States
217K-304K Annually
Senior level
The Staff Data Scientist will drive strategic initiatives in Reddit's ad ecosystem, develop advanced models, and collaborate across teams to optimize advertising efforts.
The summary above was generated by AI
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: 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:
    • Platform experience and a deep understanding of the ads ecosystem
    • Master's or Ph.D. in Statistics, Computer Science, Economics, Operations Research, or a related quantitative discipline
    • For M.S. holders: 10+ years of industry experience in applied science, data science, or machine learning engineering roles
    • For Ph.D. holders: 6+ years of relevant experience applied science, data science, or machine learning engineering roles
    • 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 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

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.

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.

Top Skills

Python
R
SQL

Reddit Santa Monica, California, USA Office

2403 Main Street, Santa Monica, California, United States, 90405

Similar Jobs

15 Days Ago
Remote or Hybrid
7 Locations
97K-182K Annually
Senior level
97K-182K Annually
Senior level
Fintech • Financial Services
As a Senior Data Scientist, you'll lead predictive modeling and analytics projects, drive marketing attribution analysis, and enhance member experience by collaborating across teams.
Top Skills: AlteryxGoogle AnalyticsGoogle BigqueryMatlabPower BIPythonRSASSnowflakeSQLTableau
An Hour Ago
Remote
United States
220K-292K Annually
Senior level
220K-292K Annually
Senior level
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
Responsible for the full lifecycle development of motion planning software for autonomous vehicles, mentoring junior engineers, and delivering algorithmic solutions.
Top Skills: C++Linux
An Hour Ago
Easy Apply
Remote
NH, USA
Easy Apply
70K-83K Annually
Mid level
70K-83K Annually
Mid level
Insurance
The Territory Manager is responsible for driving sales growth and enhancing relationships with insurance agencies through strategic engagement and support. Roles include developing marketing campaigns and collaborating with teams to improve agent experiences.
Top Skills: CRMGoogle ProductsMicrosoft Products

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account