Senior Data Science Manager, Marketing

CanadaRemote

Responsibilities

Lead and Develop: Build, lead, and mentor a high-performing team of data scientists focused on the Marketing & Business Development domain.
Drive Strategy: Serve as a thought-partner to cross-functional leaders (Product, Engineering, Design, and Marketing), communicating and shaping the roadmap and strategy for Reddit by identifying actionable and impactful insights.
Deliver Causal Insights: Lead initiatives to quantify the true incremental lift of marketing spend and prevent budget allocation on non-incremental channels, including developing and deploying Incremental/Predictive LTV models.
Standardize Measurement: Oversee the establishment of measurement frameworks (incl. effective experimental designs and/or Causal inference methods) to evaluate Brand Initiatives and ensure consistent metrics are aligned across the organization for campaign quality and ROI.
Drive Adoption: Drive the adoption of strategic and tactical recommendations based on deep product
Ensure Data Quality: Take a keen interest in the collection and quality of underlying data, including overseeing work on ETLs, reporting dashboards, and data aggregations needed for business tracking and/or ML model development.
Enable Self-Service: Lead initiatives to enable analytics self-serve capabilities for cross-functional teams. Required

With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
The Data Science Team at Reddit is expanding, and we are looking for an experienced leader to head a team of talented data scientists focused on the Marketing & Business Development domain.
As a Data Science Senior Manager, you will lead a team that is crucial to Reddit's user growth strategy. You will:
experience and data understanding to maximize our value to consumers.
experience in driving product strategy and roadmaps through analytics, ideally for consumer technology products and marketplaces
experience as a people manager, leading a team of up to 10 data scientists.
Teams you have led had expertise in causal inference, A/B testing experimentation, metric definition and governance, and product strategy
You excel at communicating to both technical and non-technical people
You have an ability to understand nuanced complex concepts and systems, and explain them simply.
You are proficient in SQL and Python/R for hands-on analysis. You can roll up your sleeves and work side by side with your team when needed You have
experience in leveraging AI-assisted development tools (e.g., Cursor, Claude, or similar LLMs) to improve personal and team productivity, code quality, and technical problem-solving.
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI).

You built, led and developed high performing product analytics teams before: ideally 5+ years of leadership

It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.
At Reddit we continue to grow our teams with the best talent. We're completely remote friendly . Team Description:
Our core mission is to evolve Marketing & BD Data Science from ad-hoc reporting to a strategic data science partnership that scales Reddit’s marketing efforts, and to help product and marketing teams make data-driven, high-confidence decisions.
The team's work is centered around three strategic pillars:
Data Foundations: Building and maintaining a canonical single source of truth for marketing performance and attribution, leveraging robust data foundations to power reliable campaign analyses, experimentation, and accurate Lifetime Value (LTV) modeling.
Causal Measurement & Metrics: Ensuring consistent measurement of campaign quality and ROI by defining and deploying advanced causal decision frameworks and models.
Decision-Making Insights: Functioning as a strategic partner to the Marketing organization, translating data into clear, actionable recommendations to guide budget allocation and identify high-value growth segments. Responsibilities:
You have led initiatives to enable analytics self serve for cross-functional teams
You have a collaborative attitude and natural curiosity and strong evidence-backed product opinions Benefits:
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support