Senior Data Scientist - Consumer
📍 Chicago, United States
📍 New York City, United States
📍 Los Angeles, United States
📍 San Francisco, United States
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
A/B Testing @ 7
Communication @ 7
Data Analysis
Data Science @ 4
Experimentation @ 7
Marketing @ 4
Mathematics
Python @ 4
R @ 4
SQL @ 6
Statistics
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Reddit's Data Science Team is seeking experienced Data Scientists to partner with Product, Engineering, Design, Marketing, and Business Development teams to build and improve systems that drive user and revenue growth. The role will focus on the Consumer product area and may involve measurement and metrics design, experimentation, causal analysis, deep data analysis, and research.
The successful candidate will be an industry technical leader with a strong technical background, business acumen, and excellent cross-functional stakeholder management skills.
Responsibilities
- Develop action-oriented insights to drive product strategy through observational causal analysis and experiment meta-analysis, and communicate results to stakeholders up to the C-suite.
- Improve experimentation practices by guiding the design, execution, and analysis of A/B tests.
- Create ETLs, tables, dashboards, and other self-service tools that help data scientists and cross-functional partners access and interact with data.
- Design, evaluate, and measure team-level KPIs for quarterly goal setting and demonstrating team impact.
- Engage regularly with stakeholders to gather feedback, share progress, and maintain alignment on business goals and outcomes.
- Mentor junior data scientists and business partners in data science best practices and methods.
Requirements
- Master's or Ph.D. degree in a quantitative field such as Statistics, Mathematics, Physics, Economics, or Operations Research.
- Master's degree holders: 5+ years of industry experience in applied science or data science roles.
- Ph.D. holders: 4+ years of industry experience in applied science or data science roles.
- Expertise querying relational databases using SQL.
- Programming experience with languages such as R or Python.
- Deep understanding of online experimentation, including A/B testing, causal inference, and statistical techniques.
- Ability to work in innovative, fast-paced environments with a bias toward action.
- Strong technical communication and data storytelling skills, including the ability to discuss complex topics with technical and non-technical audiences.
- Ability to address ambiguous and undefined problems by creating an action plan, gathering feedback, and iterating.
Benefits
- Comprehensive healthcare benefits and income replacement programs.
- 401(k) with employer match.
- Global benefit programs supporting workspace, professional development, and caregiving.
- Family planning support.
- Gender-affirming care.
- Mental health and coaching benefits.
- Flexible vacation and paid volunteer time off.
- Generous paid parental leave.
- Eligibility for equity in the form of restricted stock units.
The position is US remote-friendly or available at Reddit offices in San Francisco, Los Angeles, Chicago, and New York City. The base salary range is $190,800–$267,100 USD. The role may span more than one career level, and final compensation depends on factors including skills and experience.