Staff Data Scientist - Ads Measurement, Signals, Privacy
Remote - Ontario, Canada
- Pay
- Salary not listed in the saved posting
- Work setup
Remote stated — work setup source
Listed location: Remote - Ontario, Canada
Read the full posting- Employment
- Unconfirmed
What you’ll work on
Full postingDevelop probabilistic models linking on-platform and off-platform actions for identity resolution
Own statistical methods behind Brand and Conversion Lift products
Quantify the value of new signal sources and fold them into predictive models
Design objective functions and truth sets for training and evaluating identity models
Mentor others and set best practices across modeling, experimentation and measurement
From the employer’s posting
Develop/employ probabilistic models for identity resolution
Own the statistical rigor behind Reddit’s Brand and Conversion Lift products
You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models
Design the objective functions and truth sets used to train our models
Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement
What you’ll bring
All qualificationsCore experience
- Deep understanding of the ads ecosystem
- Experience with machine learning or optimization techniques
- Demonstrated expertise in at least one of the following areas:
- Strong understanding of experimental design, causal inference, or A/B testing methodologies
- Experience working in fast-paced, ambiguous environments with cross-functional teams
Qualification wording
Deep understanding of the ads ecosystem
Experience with machine learning or optimization techniques
Demonstrated expertise in at least one of the following areas:
Strong understanding of experimental design, causal inference, or A/B testing methodologies
Experience working in fast-paced, ambiguous environments with cross-functional teams
Education & alternatives
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 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
Tools in this posting
- Python
- R
- SQL
Source — Tool mentions in context
- Predictive Modeling with Signal Loss - Advanced proficiency in statistical programming (Python or R) and SQL. - Experience with machine learning or optimization techniques
Benefits in the posting
Full benefits wording- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 6, 2026 · 73d ago
- Recorded sightings
- 94
- Last seen by us
- Oct 17, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
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
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Remote - Ontario, Canada
- Generous Paid Parental Leave #LI-Remote 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.