Staff Data Scientist, Consumer

About the Role

The consumer data science team is responsible for understanding user behavior and needs, and using this knowledge to inform product decisions. As a Staff Data Scientist, you will be expected to design and implement metrics to evaluate the health of the business and the success of products, and drive experimentation to maximize learnings and guide future investment decisions.

What You Will Do

• 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
• 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
• Develop and maintain expertise in statistical analysis, data visualization, and data mining techniques
• Stay up-to-date with industry trends and emerging technologies in data science

What We Are Looking For

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
• 10+ years of industry experience in applied science or data science roles (for M.S. holders)
• 6+ years of industry experience in applied science or data science roles (for Ph.D. holders)
• Expert knowledge of SQL and relational databases
• Familiarity with statistical analysis and programming languages such as R or Python
• Demonstrated ability to influence and guide product strategy with data
• Excellent communication and experience working with senior leaders and stakeholders
• Entrepreneurial, self-directed, and enthusiastic about solving problems
• Familiarity with causal inference techniques and causal models

Nice to Have

• Experience with data visualization tools such as Tableau or Power BI
• Knowledge of machine learning algorithms and techniques
• Experience with cloud-based data platforms such as AWS or GCP

Benefits and Perks

• Competitive salary and equity package
• Comprehensive health, dental, and vision insurance
• Flexible paid time off and holidays
• Remote work stipend and home office setup
• Professional development opportunities and conference sponsorships
• Access to Reddit's internal learning and development platform

• Be prepared to showcase your portfolio of data science projects and experiences, highlighting your ability to drive product strategy with data insights.
• Develop a strong understanding of Reddit's community-driven platform and its unique challenges and opportunities.
• Emphasize your expertise in SQL, statistical analysis, and data visualization, and be ready to provide examples of how you've applied these skills in previous roles.
• Demonstrate your ability to communicate complex data insights to non-technical stakeholders, including product managers and designers.
• Highlight your experience working with cross-functional teams and driving collaboration to integrate data insights into product decisions.
• Be prepared to discuss your experience with experimentation and A/B testing, and how you've used data to inform product decisions.
• Show enthusiasm for solving complex problems and driving business growth through data-driven decision making.