Senior Data Scientist

Reddit is a community of communities built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.

As a Senior Data Scientist, you will 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 C-suite to take action based on the recommendations.

Key responsibilities include:

• 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.

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:

• A/B Testing & Experimentation Design
• Causal Inference & Incrementality Measurement
• Statistical Modeling & Data Analysis
• ETL Development and maintenance
• KPI Design and Goal Setting
• Cross-Functional collaboration
• Data Visualization and Reporting
• Python and SQL
• Machine Learning and predictive modeling

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave