Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,761 postings in the last year. Stated ranges, not salaries paid.
San Francisco, CA
Actively hiring, first seen by us 2 days agoTo provide greater transparency to candidates, we share base pay 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. The base pay range for this position is: $229,000.00 - $267,100.00 USD #LI-DNIRead the full posting
Run observational causal analysis and experiment meta-analysis to guide product strategy
Guide A/B test design, execution and deep-dive analysis across the team
Build ETLs, tables and dashboards for self-serve data access
Design and measure team-level KPIs for quarterly goal setting
Mentor junior data scientists and business partners in data science methods
Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta analysis
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.
Mentor more junior data scientists and business partners in data science best practices and methods
From the employer’s posting.
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,761 postings in the last year. Stated ranges, not salaries paid.
Day 2
Early. Similar jobs usually come down between day 7 and day 57.
At Reddit, jobs usually come down by about day 48.
From 10,553 similar postings that came down, and 33 of Reddit’s. Coming down is not always a hire.
43 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
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: (1) A/B Testing & Experimentation Design; (2) Causal Inference & Incrementality Measurement; (3) Statistical Modeling & Data Analysis; (4) ETL Development and maintenance; (5) KPI Design and Goal Setting; (6) Cross – Functional collaboration; (7) Data Visualization and Reporting; (8) Python and SQL; (9) Machine Learning and predictive modeling. Any suitable combination of education, training and/or experience is acceptable. Full-time telecommuting is an option. Benefits:
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job Duties: 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 Csuite to take action based on the recommendations. 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. Full-time telecommuting is an option.
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: (1) A/B Testing & Experimentation Design; (2) Causal Inference & Incrementality Measurement; (3) Statistical Modeling & Data Analysis; (4) ETL Development and maintenance; (5) KPI Design and Goal Setting; (6) Cross – Functional collaboration; (7) Data Visualization and Reporting; (8) Python and SQL; (9) Machine Learning and predictive modeling. Any suitable combination of education, training and/or experience is acceptable. Full-time telecommuting is an option.
Benefits:
Submit a resume with references using the apply button on this posting or by email at: applicationsreview@reddit.com at Req.# 1016.244.3.
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/.
To provide greater transparency to candidates, we share base pay 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.
The base pay range for this position is: $229,000.00 - $267,100.00 USD
#LI-DNI
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
To provide greater transparency to candidates, we share base pay 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. The base pay range for this position is: $229,000.00 - $267,100.00 USD #LI-DNI
San Francisco, CA
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.