Staff Data Scientist, Consumer

Responsibilities

• 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

Required Qualifications

• 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