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# Data Scientist

- **Company:** reddit Inc.
- **Location:** Friendly, WV, United States (Remote available)
- **Experience:** Expert
- **Salary:** $217,000.0 - $304,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Extract Transform Load (ETL), Relational Databases, Python (Programming Language), Standard Sql, Programming Languages
- **Published:** July 29, 2026
- **Apply:** https://www.workingnomads.com/job/go/1760000/

## About the Role

* Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
 * For M.S. holders: 10+ years of industry experience in applied science or data science roles
 * For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
 * Expert knowledge of SQL and relational databases
 * Familiarity with statistical analysis and the preferred programming languages of the team (R / Python)
 * Demonstrated ability to influence and guide product strategy with data
 * Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
 * Familiarity with causal inference techniques and causal models
 * Excellent communication and experience working with senior leaders / stakeholders
 * Entrepreneurial, self-directed, and enthusiastic about solving problems
 * Demonstrated ability to mentor other data scientists and share best practices to elevate the data science practice at Reddit
 * Conform in innovative and fast-paced environments, and have a bias toward action.
 * Can discuss complex topics with technical and non-technical audiences

## Description

* Help build the long term product strategy by identifying opportunities to attract new users, increase engagement, and drive retention
 * Influence strategic roadmaps through data-driven insights into user behaviors and needs
 * Design metrics that help evaluate the health of the business and the success of our products, including any ETL development needed for consistent and robust analysis
 * Drive experimentation from design through execution and analysis to maximize learnings and guide future investment decisions
 * Build self-serve tools for product and engineering partners that answer common questions and/or increase data literacy in the organization
 * Work cross functionally with product, engineering, and design teams to ensure insights make it to the product
 * Scale your work to other parts of the data organization through mentoring more junior data scientists, improving processes, and providing perspective on the most important problems


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