Data Science Manager
About The Position
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. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit, Inc. seeks Data Science Manager in San Francisco, CA: Job Duties: Lead and grow a high-impact team of data scientists focused on optimizing the ads delivery funnel, ads quality, and marketplace dynamics. Foster a culture of technical excellence, collaboration, and innovation. Drive end-to-end strategy and delivery, from ideation and experimentation to deployment and post-launch monitoring, ensuring products are performant, scalable, and aligned with business objectives. Partner with Engineering and Product leadership to build robust products, experimentation platforms, and pipelines that accelerate iteration and ensure reliability at scale. Collaborate closely with Product, Sales, and Marketing to align machine learning efforts with monetization goals. Help shape the ads roadmap by identifying opportunities through data, modeling, and experimentation. Build and maintain high- quality data foundations, including defining key data sources, ensuring ETL health, and enabling data engineering at scale for rapid analytics and model development. Deeply understand ad auctions and marketplace dynamics, including how bid distributions impact CPMs, CPCs, and revenue. Use this knowledge to guide strategy and product priorities. Promote a strong experimentation culture, ensuring rigorous A/B testing, thoughtful metric design, and clear interpretation of results across all model launches. Full-time telecommuting is an option.
Requirements
- Master’s degree (or foreign equivalent) in Computer Science, Statistics, Engineering (any field) or closely related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field.
- NumPy
- Github
- SQL
- Regression Models
- Tensorflow
- UNIX Shell/ Bash Scripting
- Excel
- Spark/ PySpark
- Decision Trees
- Python
- Any suitable combination of education, training and experience is acceptable.
Responsibilities
- Lead and grow a high-impact team of data scientists focused on optimizing the ads delivery funnel, ads quality, and marketplace dynamics.
- Foster a culture of technical excellence, collaboration, and innovation.
- Drive end-to-end strategy and delivery, from ideation and experimentation to deployment and post-launch monitoring, ensuring products are performant, scalable, and aligned with business objectives.
- Partner with Engineering and Product leadership to build robust products, experimentation platforms, and pipelines that accelerate iteration and ensure reliability at scale.
- Collaborate closely with Product, Sales, and Marketing to align machine learning efforts with monetization goals.
- Help shape the ads roadmap by identifying opportunities through data, modeling, and experimentation.
- Build and maintain high- quality data foundations, including defining key data sources, ensuring ETL health, and enabling data engineering at scale for rapid analytics and model development.
- Deeply understand ad auctions and marketplace dynamics, including how bid distributions impact CPMs, CPCs, and revenue. Use this knowledge to guide strategy and product priorities.
- Promote a strong experimentation culture, ensuring rigorous A/B testing, thoughtful metric design, and clear interpretation of results across all model launches.
Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- 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
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
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What This Job Offers
Job Type
Full-time
Career Level
Manager
