Join Reddit as a Staff Data Scientist and play a vital role in driving data-informed decisions that shape the platform’s future. This Staff Data Scientist position offers a rare opportunity to impact one of the internet’s most influential communities by developing models and strategies that enhance user engagement, retention, and growth. You’ll collaborate with engineers, designers, and product teams to transform data into actionable insights that improve experiences for millions of users worldwide.
Staff Data Scientist Responsibilities
- Develop data-driven strategies to attract new users, boost engagement, and increase retention.
- Lead experimentation and A/B testing from design to analysis to guide key product decisions.
- Design scalable metrics and ETL pipelines for consistent product and business evaluation.
- Influence long-term product strategy through deep data insights into user behavior.
- Build self-serve analytical tools to empower product and engineering teams.
- Partner with cross-functional teams to embed analytics into decision-making processes.
- Mentor junior data scientists and elevate team capabilities across analytics initiatives.
Qualifications for Staff Data Scientist
- Ph.D., M.S., or Bachelor’s in Statistics, Machine Learning, Economics, Computer Science, or similar.
- 6+ years (or 4+ with Ph.D.) of data science experience in industry.
- Expertise in SQL, R, Python, and statistical analysis.
- Proven record of influencing product strategy through data-driven insights.
- Experience in causal inference, hypothesis testing, and experimentation.
- Strong communication skills for presenting findings to technical and executive audiences.
- Entrepreneurial mindset with the ability to thrive in fast-paced, innovative environments.
Why You’ll Love Working as a Staff Data Scientist at Reddit
- Opportunity to impact over 100 million daily users globally.
- Collaborative, inclusive, and innovation-driven culture.
- Comprehensive benefits including healthcare, 401(k) match, family planning, and flexible leave.
- Support for mental health, coaching, and volunteer opportunities.
- Commitment to diversity, equity, and inclusion with equal opportunity for all applicants.
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