Senior Data Science Manager leading a team of data scientists to drive marketing analytics at Reddit. Focused on strategic insights and data-driven decision making for marketing efforts.
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 experience and data understanding to maximize our value to consumers.
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.
Requirements
You have experience in driving product strategy and roadmaps through analytics, ideally for consumer technology products and marketplaces
You built, led and developed high performing product analytics teams before: ideally 5+ years of leadership 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 have led initiatives to enable analytics self serve for cross-functional teams
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.
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
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Comprehensive Medical Benefits & Health Care Spending Account
Registered Retirement Savings Plan with matching contributions
Data Scientist on the Machine Learning Team for Alberta’s Workers’ Compensation Board. Developing scalable machine learning solutions and overseeing analytics projects to improve workplace safety.
Senior / Principal Data Scientist role focused on building and scaling GenAI and Agentic AI systems in production. Location: Toronto (Hybrid). Compensation up to $200K - 225k base.
Staff Data Scientist leading strategy and execution for marketing intelligence efforts at Reddit. Focus on optimizing marketing spend and measuring effectiveness for long - term growth.
Data Scientist driving product strategy and user engagement at Reddit. Analyzing data and collaborating with teams to enhance user experiences in online communities.
Senior Data Scientist enhancing Reddit's user experience through data - driven projects. Collaborating with teams to analyze and model data for insights and strategies.
Data Scientist on Aviva's Fraud Data Science team transforming large datasets into actionable insights. Designing and deploying machine learning models to enhance fraud detection capabilities.
Data Science Student undertaking challenging work assignments in analytics and machine learning at PCL. Collaborating under supervision in a supportive environment for personal and professional growth.