Senior Data Science Manager, Marketing
New
R
RedditConsumer Technology
Remote - United StatesFull-TimeManager
Salary232500 - 325500 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLETLMachine LearningA/B testingR
Requirements
- Experience in driving product strategy and roadmaps through analytics, ideally for consumer technology products and marketplaces.
- 5+ years of leadership experience as a people manager, leading a team of up to 10 data scientists.
- Teams led had expertise in causal inference, A/B testing experimentation, metric definition and governance, and product strategy.
- Led initiatives to enable analytics self-serve for cross-functional teams.
- Excel at communicating to both technical and non-technical people.
- Ability to understand nuanced complex concepts and systems, and explain them simply.
- Proficient in SQL and Python/R for hands-on analysis.
- 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.
- Collaborative attitude and natural curiosity and strong evidence-backed product opinions.
Responsibilities
- Build, lead, and mentor a high-performing team of data scientists focused on the Marketing & Business Development domain.
- 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.
- 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.
- 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 the adoption of strategic and tactical recommendations based on deep product experience and data understanding to maximize our value to consumers.
- 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.
- Lead initiatives to enable analytics self-serve capabilities for cross-functional teams.
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