This role is ideal for a statistics-heavy Senior Data Scientist who thrives on product strategy rather than just model building. You’ll need an advanced degree
Work type: remote
Location: Remote - United States
Salary: $190,800 – $267,100/yr
Type: Full-time
This role is ideal for a statistics-heavy Senior Data Scientist who thrives on product strategy rather than just model building. You’ll need an advanced degree (Master’s or Ph.D.) and at least 4–5 years of professional experience, specifically in consumer-facing tech. The team is looking for a technical leader who can bridge the gap between complex causal inference and C-suite business decisions. The compensation is highly competitive, with a base salary reaching up to **$267,100**, plus equity and a 401(k) match. A standout feature is the "fully remote" flexibility within the US, backed by a culture that prioritizes comprehensive benefits like gender-affirming care and family planning. You won't be siloed; you’ll act as an internal consultant across Product, Engineering, and Marketing. **You might be a good fit if you:** * Are an expert in **A/B testing and causal inference** beyond basic experimentation. * Enjoy mentoring junior scientists and "upleveling" the data literacy of an entire team. * Can turn messy, ambiguous data into clean ETLs and persuasive "data stories." * Prefer a fast-paced environment where your work directly impacts growth for millions of users.
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 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit [www.redditinc.com](http://www.redditinc.com/).
Location: US remote-friendly or any office location - SF, LA, CHI, NY
The Data Science Team at Reddit is growing and we are looking for experienced Data Scientists to partner with our cross-functional partners (Product, Engineering, Designer, Marketing, Business Development etc.) to help us build and improve the systems that continuously drive our user and revenue growth.
As a Senior Data Scientist on the team, you will have the opportunity to play a significant role in driving the success of key product areas at Reddit (Consumer, Ads, Safety etc.). You will lead and contribute to defining the product strategy through measurement and metrics design, experimentation and causal analyses, supporting product decisions via deep data analyses, and research.
This person will be an industry technical leader with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills. You will go through a general Data Scientists hiring process and get matched to the product area that best fits your background and interest.
Responsibilities:
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit [https://www.redditinc.com/careers/](https://www.redditinc.com/careers/).
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$190,800—$267,100 USD
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