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Reddit

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Reddit

Staff Data Scientist - Ads Measurement, Signals, Privacy

Reddit operates an expansive online platform encompassing over 100,000 active communities and approximately 130 million daily active unique visitors where users submit, vote, and comment on…

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Remote from

Remote

Salary

Undisclosed

Department

General

Employment

Full-time

Experience

Not specified

Published15d ago
Listing Views24
Applications0
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About This Role

Reddit operates an expansive online platform encompassing over 100,000 active communities and approximately 130 million daily active unique visitors where users submit, vote, and comment on shared interests. The Ads Data Science team seeks a Staff Data Scientist to focus on ads measurement, signals, and privacy in a fully remote position. This autonomous role directs high-impact projects within the advertising sector, targeting identity resolution, measurement systems, and signal quality. The…

Job Description

Reddit operates an expansive online platform encompassing over 100,000 active communities and approximately 130 million daily active unique visitors where users submit, vote, and comment on shared interests. The Ads Data Science team seeks a Staff Data Scientist to focus on ads measurement, signals, and privacy in a fully remote position. This autonomous role directs high-impact projects within the advertising sector, targeting identity resolution, measurement systems, and signal quality. The position suits experienced applied scientists or data scientists who excel in fast-paced, ambiguous settings and possess deep expertise in the advertising ecosystem. Selected candidates will shape strategic priorities, establish rigorous technical standards, and collaborate closely with cross-functional partners across engineering, product management, and sales organizations.

Responsibilities

  • Develop probabilistic models for identity resolution to link on-platform and off-platform actions while prioritizing user privacy
  • Manage the statistical methodology supporting Brand and Conversion Lift products for advertisers
  • Design experimental frameworks and infrastructure capable of executing large-scale, low-bias testing
  • Establish strategies for identifying, quantifying, and integrating new signal sources into predictive models to enhance bidding efficiency and ROAS
  • Formulate objective functions and ground truth sets required for model training and identity graph validation
  • Collaborate alongside engineering, product, and sales teams to convert insights into execution
  • Mentor team members and champion best practices spanning experimentation, modeling, and measurement

Requirements

  • Advanced degree in Physics, Statistics, Mathematics, Economics, or Operations Research
  • Ten or more years of industry experience in data science or applied science roles for Master of Science holders
  • Six or more years of industry experience in data science or applied science roles for Ph.D. holders
  • Deep familiarity with the digital advertising ecosystem
  • Advanced proficiency in SQL alongside statistical programming languages like Python or R
  • Working knowledge of optimization or machine learning techniques
  • Comprehensive understanding of causal inference, experimental design, and A/B testing methodologies

Qualifications

  • Expertise in measurement and scale experimentation with a concentration on attribution and lift
  • Demonstrated experience in identity graph creation and resolution methods and infrastructure
  • Proven track record in predictive modeling addressing signal loss
  • Strong problem-solving and communication abilities with experience influencing engineering and product stakeholders

Core Skills

Benefits

  • Comprehensive healthcare benefits and income replacement programs
  • Employer-matched 401k plan
  • Global benefit programs covering workspaces, professional development, and caregiving support
  • Family planning support and gender-affirming care
  • Mental health and coaching benefits
  • Flexible vacation policy and paid volunteer time off
  • Generous paid parental leave

Frequently Asked Questions

Where is this job located?

This position is remote.

What is the employment type?

The posting lists the employment type as full-time.

What education is required for this role?

Applicants must hold an advanced degree, such as a Master's or Ph.D., in Statistics, Mathematics, Physics, Economics, or Operations Research.

What is the salary for this position?

The salary is not stated in the job posting.

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