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# Data Scientist

- **Company:** reddit Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $229,000 - $267,100
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, SQL Databases, Information Technology
- **Published:** November 6, 2026
- **Apply:** https://www.themuse.com/jobs/reddit/senior-data-scientist-8a6f10

## About the Role

Full-time telecommuting is an option.

Requirements: Master's degree, or its foreign degree equivalent, in Data Science, Statistics, Machine Learning, Operations Research, Economics, Computer Science, Engineering (any field), or a related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field OR Bachelor's degree, or its foreign degree equivalent, in Data Science, Statistics, Machine Learning, Operations Research, Economics, Computer Science, Engineering (any field), or a related quantitative discipline and five (5) years of progressively responsible experience in the job offered or in any occupation in related field.

Special Skill Requirements: (1) A/B Testing & Experimentation Design; (2) Causal Inference & Incrementality Measurement; (3) Statistical Modeling & Data Analysis; (4) ETL Development and maintenance; (5) KPI Design and Goal Setting; (6) Cross - Functional collaboration; (7) Data Visualization and Reporting; (8) Python and SQL; (9) Machine Learning and predictive modeling. Any suitable combination of education, training and/or experience is acceptable. Full-time telecommuting is an option.

## Description

Job Duties: Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta analysis, and clearly communicate results to stakeholders up to the Csuite to take action based on the recommendations. Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from AB tests. Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly. Design, evaluate, and/or measure team level KPIs to enable quarterly goal setting and demonstrate team impact. Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes. Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making.