Senior Data Scientist, Ads
- Status
- Open
- Remote policy
- Remote
- Employment type
- Not stated
- Salary
- 190,800-267,100 USD / year
- Categories
- Ads Data Science
- Source
- First observed
- 2026-08-18 21:01 UTC
- Last seen
- 2026-10-04 15:55 UTC
- Source claims posted
- 2026-08-12 22:32 UTC
- Consecutive misses
- 0 of 3
What the posting says
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, 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:
We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.
Responsibilities:
Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition
Communicate findings and recommendations to stakeholders across the organization
Stay up-to-date on the latest advancements in machine learning and data science
Mentor and guide junior data scientists on the team
Qualifications:
Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
For M.S. holders: 5+ years of industry experience in applied science or data science roles
For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
Platform experience and a deep understanding of the ads ecosystem
Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
Experience with SQL and relational databases
Excellent communication and presentation skills
Passion for Reddit and the online advertising industry
Bonus Points:
Experience with online advertising and ad tech
Experience with causal inference and A/B testing
Contributions to open-source projects or publications in relevant conferences or journals
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-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 salary 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 salary range for this position is:
$190,800—$267,100 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.
Quality
- + Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Based on 98 observation(s).
- + Days open - fineOpen for 47 days so far
- + Reopen count - fineNever reopened
- + Salary range removed after publication - fineSalary range has not been removed since publication
- + Salary range narrowed - fineSalary range has not narrowed since publication
- + Missing/reappear cycles - fineNo missing-then-reappeared cycles observed
Timeline
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#1057160 2026-09-29 02:28 UTCModified
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#1068409 2026-09-29 14:36 UTCModified
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#1083335 2026-09-30 02:43 UTCModified
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#1091945 2026-09-30 14:43 UTCModified
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#1103085 2026-10-01 02:44 UTCModified
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#1109562 2026-10-01 10:45 UTCModified
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#1114603 2026-10-01 14:49 UTCModified
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#1125928 2026-10-02 02:59 UTCModified
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#1137140 2026-10-02 15:26 UTCModified
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#1148720 2026-10-03 03:48 UTCModified
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2026-10-02T08:26:00-04:00->2026-10-02T20:07:41-04:00
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#1156578 2026-10-03 15:54 UTCModified
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2026-10-02T20:07:41-04:00->2026-10-03T08:09:16-04:00
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~
#1165411 2026-10-04 03:55 UTCModified
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2026-10-03T08:09:16-04:00->2026-10-03T20:08:51-04:00
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#1171612 2026-10-04 15:55 UTCModified
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2026-10-03T20:08:51-04:00->2026-10-04T08:27:24-04:00
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