Staff Data Scientist, Marketing

About the role

Reddit seeks a Staff Data Scientist to own the measurement backbone for all marketing activities. In this role, you will define the queries, models, and experiments that turn raw events into actionable insights. Your work will align financial investment with long-term ecosystem health for both B2B and B2C initiatives. You will operate at a high level of autonomy, solving ambiguous problems by constructing rigorous analytical roadmaps. Your findings will be communicated directly to senior leadership. The position is based in the United States and follows a fully remote work model. The compensation package ranges from $185,000 to $230,000 USD, inclusive of potential bonus and equity components.

Core Responsibilities

You will architect the foundational measurement framework that converts platform events into insights on incrementality. This involves designing and executing geo-based holdout tests and continuous incrementality studies to isolate the true impact of marketing activities. You will build and maintain Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) systems to clarify channel contributions while balancing brand awareness against performance outcomes. Defining and maintaining the North Star metrics and guardrails is central to this position. You will ensure alignment between Marketing, Growth, and Finance teams, coordinating them around shared objectives. You will also mentor junior analysts and scientists, elevating code quality, review standards, and the clarity of analytical storytelling across the Marketing organization. Partnerships with external agencies and platform teams are a key component of this role. You will validate data pipelines and ensure the integrity of marketing measurement infrastructure. Additionally, you will champion causal thinking throughout all campaign activities, guiding experimentation that respects user privacy and platform-specific limitations. As business context evolves, you will update models and narratives to maintain strategic alignment.

Required Qualifications

A Master's or Doctoral degree in Statistics, Economics, Mathematics, or another related quantitative discipline is mandatory for this position. Candidates with a Master's degree must possess over 10 years of professional experience in roles such as marketing science, growth data science, or econometrics. Ph.D. holders should demonstrate a history of leading complex analytical programs within similar domains. You must have hands-on experience constructing Media Mix Models and Multi-Touch Attribution systems. A proven ability to influence stakeholders without direct authority is essential for guiding budget allocation and strategic priorities. Strong written and verbal communication skills are required to distill complex findings for executive-level audiences.

Preferred Experience

Experience conducting large-scale geo-based experiments within online platforms is highly valued. Deep familiarity with digital advertising ecosystems and the challenges of cross-channel attribution will enhance your contribution to the team.

Tools and Skills

Proficiency in Python, SQL, and R is expected. Experience with experimentation platforms and superior stakeholder communication skills are critical for success.

Practical Information

Please confirm all details regarding compensation, location, and application procedures on the official posting page. Certain information may be updated directly on the source site.

What you'll do

• Architect the foundational measurement framework that converts platform events into insights on incrementality.
• Design and execute geo-based holdout tests and continuous incrementality studies to isolate the true impact of marketing activities.
• Build and maintain Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) systems to clarify channel contributions.
• Balance the pursuit of performance outcomes with the measurement of long-term brand awareness effects.
• Define and maintain the North Star metrics and guardrails that align Marketing, Growth, and Finance.
• Coordinate cross-functional teams around shared objectives to ensure measurement integrity.
• Mentor junior analysts and scientists to elevate code quality and review standards.
• Elevate the clarity of analytical storytelling across the Marketing organization.
• Validate data pipelines and ensure the integrity of marketing measurement infrastructure.
• Champion causal thinking and guide experimentation that respects user privacy and platform limitations.
• Update models and narratives as business context evolves to maintain strategic alignment.
• Partner with external agencies and platform teams to strengthen measurement capabilities.

Requirements

• Hold a Master's or Doctoral degree in Statistics, Economics, Mathematics, or another related quantitative discipline.
• Candidates with a Master's degree must possess over 10 years of professional experience in marketing science, growth data science, or econometrics.
• Ph.D. holders must demonstrate a history of leading complex analytical programs within similar domains.
• Possess hands-on experience constructing Media Mix Models and Multi-Touch Attribution systems.
• Exhibit a proven ability to influence stakeholders without direct authority.
• Distill complex findings for executive-level audiences through strong written and verbal communication.
• Demonstrate comfort with large-scale geo-based experiments within online platforms.
• Show deep familiarity with digital advertising ecosystems and cross-channel attribution challenges.

Nice to have

• Experience conducting large-scale geo-based experiments within online platforms.
• Deep familiarity with digital advertising ecosystems and the challenges of cross-channel attribution.

Tools and Skills

• Proficiency in Python, SQL, and R is expected.
• Experience with experimentation platforms and superior stakeholder communication skills are critical for success.

Practical notes

• The position is based in the United States and follows a fully remote work model.
• The compensation package ranges from $185,000 to $230,000 USD, inclusive of potential bonus and equity components.
• Please confirm all details regarding compensation, location, and application procedures on the official posting page.
• Certain information may be updated directly on the source site.

About the company

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.