Senior Data Scientist, Consumer

Details

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information.

This role sits on the Data Science Team and partners with cross-functional teams (Product, Engineering, Design, Marketing, Business Development) to build and improve systems that drive user and revenue growth. As a Senior Data Scientist, you will lead and contribute to product strategy through measurement and metrics design, experimentation and causal analyses, deep data analyses, and research. You will be an industry technical leader with strong business acumen and cross-functional stakeholder management skills. Candidates will go through a general Data Scientist hiring process and will be matched to the product area that best fits their background and interest (Consumer, Ads, Safety, etc.).

Responsibilities

• Develop action-oriented insights to drive product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to enable action based on recommendations.
• Uplevel experimentation practices by guiding design, execution, and deep-dive analyses to maximize learnings from A/B tests.
• Create ETLs, tables, dashboards, and other self-serve tools to enable data scientists and cross-functional partners to find and interact with data seamlessly.
• Design, evaluate, and measure team-level KPIs to enable quarterly goal setting and demonstrate team impact.
• Regularly engage with stakeholders to gather feedback and share progress at all stages to ensure alignment between Data Science 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

• Relevant experience in quantitative or data science roles, preferably for a consumer-facing service/app.
• Ph.D., M.S., or Bachelors degree in Statistics, Machine Learning, Economics, Computer Science, or other quantitative fields. (If M.S. or Bachelors degree, a minimum of 5+ years of industry data science experience required; if Ph.D., a minimum of 3+ years of industry data science experience required.)
• Expertise in querying relational databases (SQL) and programming languages (e.g., R and/or Python).
• Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques.
• Experience building ETLs, tables, dashboards, and self-serve data tooling for partners.
• Strong technical communication and data storytelling skills; ability to discuss complex topics with technical and non-technical audiences.
• Comfortable in innovative, fast-paced environments with a bias toward action.
• Ability to tackle ambiguous problems by creating an action plan, soliciting feedback, and iterating.

Benefits

• Comprehensive health benefits
• 401(k) matching
• Workspace benefits for your home office
• Personal & professional development funds
• Family planning support
• Flexible vacation & Reddit Global Days Off
• 4+ months paid parental leave
• Paid volunteer time off

Additional details

• Location: US remote-friendly or any office location - San Francisco, Los Angeles, Chicago, New York (Remote - United States)
• Pay transparency: Base pay range for this position is $190,800 - $267,100 USD. Role may also be eligible for equity (RSUs) and, depending on position, commission.
• Interview recordings in select roles/locations may be recorded, transcribed, and summarized by AI; candidates may opt out prior to scheduled interviews.
• Reddit is an equal opportunity employer and provides reasonable accommodations for qualified individuals with disabilities.