Joblaze summary

In the role of Staff Data Scientist for Ads at Reddit, the individual will focus on enhancing the advertiser experience by tackling complex challenges related to measurement, identity, and signal quality. Key skills include advanced statistical modeling, experimentation, and a deep understanding of the advertising ecosystem, with proficiency in Python or R and SQL. This position is ideal for seasoned professionals with significant experience in data science, particularly those who thrive in fast-paced, collaborative environments. The Ads Data Science team is known for its innovative approach, pushing the boundaries of machine learning and statistical methods.

Joblaze insights

Listed about 6 months ago — first seen on Joblaze April 15, 2026. Last confirmed on Reddit's careers page October 26, 2026.
This exact title is also open at 1 other location at Reddit: Remote - Ontario, Canada.
Salary band is above the typical range for Data Science roles (median ~$179,000).
Starts above 59% of 32 comparable staff data science roles in United States that list SQL we track (median $192,000 across 18 companies). See SQL salary trends
SQL appears in 80.9% of 47 comparable staff data science roles in United States; A/B Testing appears in 6.4% of 47 comparable staff data science roles in United States.

Quick facts

Is the Staff Data Scientist, Ads role remote?: Yes — Reddit lists this as a fully remote position.
What's the salary range?: Reddit lists $217,000–$303,900 for this role.
How much experience is required?: 6–10 years of relevant experience for this Staff Data Scientist, Ads role.
What's the tech stack?: Joblaze extracted these technologies from the posting: A/B Testing, Machine Learning, Python, R, SQL, Statistical Modeling.
What seniority level is this role?: Reddit targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Staff Data Scientist, Ads role at Reddit.

From the original posting

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.

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 measurement, identity, and signal quality.

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:

Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the 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 the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.
Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.
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.

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
- Deep understanding of the ads ecosystem
- Demonstrated expertise in at least one of the following areas:
  - Measurement & Experimentation at Scale (with 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
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:

$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.

Standard company text repeated across Reddit's postings is omitted here.

Staff Data Scientist, Ads

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