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Practising for the listing Senior Staff Data Scientist, Consumer Relevance. Its requirements are filled in below. When you have an answer you like, paste it with your CV in Career Mirror to see which of the job's skills it shows.

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Senior Staff Data Scientist, Consumer Relevance
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 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com .

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 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com .

Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.

Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes.

Reddit's relevance challenges are uniquely complex. Our platform is a deeply interconnected network of communities, contributors, and consumers - where the notion of "relevance" spans personalized content ranking, community discovery, and search across an enormous corpus of authentic, user-generated content. We need a senior technical leader who thrives on these hard problems and can raise the bar for how we measure, evaluate, and improve the quality of recommendations and search results across the entire Consumer organization.

As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on relevance measurement and evaluation, partnering closely with Feeds and Search ML teams to tackle the most complex ranking, recommendation, and retrieval challenges across Consumer. You will shape how Reddit understands content quality, define the metrics and analytical frameworks that guide relevance improvements, and influence product strategy through rigorous analysis and experimentation.

Responsibilities

• Serve as the technical authority on relevance metrics and evaluation methodology across Consumer, setting standards for how we measure the quality of feeds, search results, and recommendations in a complex, community-driven environment

• Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems, including proxy metrics that reliably predict long-term outcomes like retention, community health, and user satisfaction

• Design and analyze experiments for relevance features, accounting for challenges unique to networked platforms such as spillover effects between communities, interference between contributors and consumers, and long-run impacts of ranking changes on content supply

• Identify opportunities where improved measurement and analysis can unlock product insights that were previously unmeasurable or ambiguous, particularly around content quality, search intent understanding, and personalization effectiveness

• Partner deeply with ML engineers and product teams to translate model performance metrics into user-facing impact

• Influence the long-term product strategy for Feeds and Search by synthesizing insights from experimentation, observational analysis, and metric deep-dives into clear, actionable recommendations for senior leadership

• Mentor and elevate other data scientists across the organization on relevance evaluation, experimentation best practices for ranking systems, causal reasoning, and statistical rigor

• Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader relevance, recommendation systems, and experimentation community

Required Qualifications

• Ph.D. in Statistics, Computer Science, Information Retrieval, Economics, or a related quantitative field with a strong focus on recommendation systems, ranking, causal inference, or evaluation methodology; or M.S. with equivalent depth of expertise

• For M.S. holders: 12+ years of industry experience in applied science, data science, or relevance/ranking-focused roles

• For Ph.D. holders: 8+ years of industry experience in applied science, data science, or relevance/ranking-focused roles

• Deep expertise in metrics design and evaluation for ranking and recommendation systems, including offline metrics and counterfactual evaluation

• Strong understanding of causal inference and experimentation methodology, including practical experience with challenges relevant to ranking systems such as novelty effects, position bias, long-run effect estimation, and ecosystem-level impacts

• Experience defining and validating quality metrics for content ranking, search, or recommendations at scale

• Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, and sequential testing as applied to relevance experiments

• Expert knowledge of SQL and proficiency in R and/or Python for statistical computing

• Demonstrated ability to influence product and organizational strategy through data-driven insights about content quality and user experience

• Excellent communication skills with the ability to explain nuanced statistical and ML concepts and tradeoffs to both technical and non-technical senior stakeholders

• Experience mentoring data scientists and building organizational capability in relevance evaluation and experimentation

• Comfortable in innovative and fast-paced environments with a bias toward action

Preferred Qualifications

• Published research or industry contributions in areas recommendation systems or causal inference for ranking

• Experience with social network or user-generated content platforms where community-level dynamics create non-trivial relevance and experimentation challenges

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

#LI-REMOTE
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 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:
$232,500 — $325,500 USD

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.

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What this posting asks for

Level: Lead / staff — The title says "Staff".

Main responsibilities

Serve as the technical authority on relevance metrics and evaluation methodology across Consumer, setting standards for how we measure the quality of feeds, …
Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems, including proxy metrics that reliably predict long-term …
Design and analyze experiments for relevance features, accounting for challenges unique to networked platforms such as spillover effects between communities,…
Identify opportunities where improved measurement and analysis can unlock product insights that were previously unmeasurable or ambiguous, particularly aroun…
Partner deeply with ML engineers and product teams to translate model performance metrics into user-facing impact
Influence the long-term product strategy for Feeds and Search by synthesizing insights from experimentation, observational analysis, and metric deep-dives in…
Mentor and elevate other data scientists across the organization on relevance evaluation, experimentation best practices for ranking systems, causal reasonin…
Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader relevance, recommendation systems, and e…
Ph.D. in Statistics, Computer Science, Information Retrieval, Economics, or a related quantitative field with a strong focus on recommendation systems, ranki…
For M.S. holders: 12+ years of industry experience in applied science, data science, or relevance/ranking-focused roles

Competencies an interviewer will look for

Leadership and mentoring Core
In the posting: “Influence the long-term product strategy for Feeds and Search by synthesizing insights from experimentation, observational analysis, and metric deep-dives in…” · “Mentor and elevate other data scientists across the organization on relevance evaluation, experimentation best practices for ranking systems, causal reasonin…” · “Experience mentoring data scientists and building organizational capability in relevance evaluation and experimentation”
Show it by: Describes setting direction or a standard others followed; Names someone they coached and what changed for them.
Planning and organisation Core
In the posting: “We need a senior technical leader who thrives on these hard problems and can raise the bar for how we measure, evaluate, and improve the quality of recommend…” · “Mentor and elevate other data scientists across the organization on relevance evaluation, experimentation best practices for ranking systems, causal reasonin…” · “Demonstrated ability to influence product and organizational strategy through data-driven insights about content quality and user experience”
Show it by: Shows how priorities were set when everything was urgent; Mentions deadlines met and how.
Data and analysis Core
In the posting: “Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can…” · “As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on relevance measurement and evaluation, partnering closely with Feeds an…” · “You will shape how Reddit understands content quality, define the metrics and analytical frameworks that guide relevance improvements, and influence product …”
Show it by: Uses a number to describe the situation or the result; Explains what the data showed and what was done with it.
Attention to detail and quality Core
In the posting: “We need a senior technical leader who thrives on these hard problems and can raise the bar for how we measure, evaluate, and improve the quality of recommend…” · “You will shape how Reddit understands content quality, define the metrics and analytical frameworks that guide relevance improvements, and influence product …” · “Serve as the technical authority on relevance metrics and evaluation methodology across Consumer, setting standards for how we measure the quality of feeds, …”
Show it by: Gives an example of an error caught before it caused harm; Names the check or standard they used.
Stakeholder management Core
In the posting: “You will shape how Reddit understands content quality, define the metrics and analytical frameworks that guide relevance improvements, and influence product …” · “Influence the long-term product strategy for Feeds and Search by synthesizing insights from experimentation, observational analysis, and metric deep-dives in…” · “Demonstrated ability to influence product and organizational strategy through data-driven insights about content quality and user experience”
Show it by: Shows how they aligned people with different goals; Explains how they handled a 'no' from someone senior.
Customer focus Core
In the posting: “Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems, including proxy metrics that reliably predict long-term …” · “Demonstrated ability to influence product and organizational strategy through data-driven insights about content quality and user experience”
Show it by: Puts the customer's need in their own words; Shows a result for the customer, not only for the company.
Adaptability and learning Core
In the posting: “Identify opportunities where improved measurement and analysis can unlock product insights that were previously unmeasurable or ambiguous, particularly aroun…” · “Flexible Vacation & Paid Volunteer Time Off”
Show it by: Describes learning something new quickly and using it; Shows a change of plan and how they adjusted.
Technical skill Supporting
In the posting: “Expert knowledge of SQL and proficiency in R and/or Python for statistical computing”
Show it by: Names the tools, languages or systems used and how; Explains a technical choice and its trade-off.
Communication Supporting
In the posting: “Excellent communication skills with the ability to explain nuanced statistical and ML concepts and tradeoffs to both technical and non-technical senior stake…”
Show it by: Adapts the message to the listener; Gives an example of explaining something clearly in writing or speech.
Ownership and accountability Supporting
In the posting: “We will use this information to evaluate your application for employment or an independent contractor role, as applicable.”
Show it by: Takes a task from start to finish without being chased; Owns a mistake and what was changed after it.

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Practice questions

Tell me about yourself. Dedicated step-by-step practice.
If an interviewer asks something improper How to respond to questions about age, family, origin or health.
Built from this posting (8):
Tell me about a time you helped someone on your team get better at their work. From this posting
You have three urgent tasks due today and time to finish only two. How do you decide? From this posting
Tell me about a time you used data or numbers to make a decision. From this posting
Tell me about a time you caught an error before it reached a customer or a report. From this posting
How have you used sql in your work? Walk me through one real example. From this posting
Tell me about a problem you solved using python. From this posting
Walk me through a piece of work where you used your strongest technical skill. What exactly did you do? From this posting
Tell me about a time you had to explain something complex to someone outside your field. From this posting
This posting reads as Data analysis: its questions come first.
Tell me about an analysis that changed a decision. Data analysis
How do you check that a query or spreadsheet you built gives the right answer? Data analysis
Describe a new tool or technique you learned to finish a piece of work. Data analysis
Describe a time you found that the data you were given was wrong. Data analysis
A manager asks you for 'the numbers' by tomorrow with no further detail. What do you do? Data analysis
What makes a dashboard useful, and how have you built one? Data analysis
Tell me about a time you explained a statistical result to people without a data background. Data analysis
Sales dropped 15% last month. How would you find out why? Data analysis
Two managers ask you to book the same room at the same time. What do you do?
Walk me through how you would check whether a report's numbers are right.
Describe a time you handled an upset customer or colleague.
Tell me about a time you had several deadlines at once. How did you decide what to do first?
Give an example of a mistake you caught before it caused a problem.
Tell me about a time you taught someone how to do something.
Describe a time you took the lead without being asked.
Tell me about a time you had to explain something complicated in simple terms.
Describe a process you improved.
Do you have any questions for us?
Why do you want to work here?
Why is there a gap in your employment? Difficult question
Why did you leave your last job? Difficult question
Why are you changing careers? Difficult question
What is your greatest weakness? Difficult question
What are your salary expectations? Difficult question
You seem overqualified for this role. Why do you want it? Difficult question
Improper-question practice: How old are you? / Do you have children? / Where are you from originally?
A customer is angry about a delay you did not cause. What do you do?
How do you keep track of many open customer requests?
Tell me about a time you could not give a customer what they wanted.
You find that the inventory count does not match the system. What do you do?
Tell me about a time a shipment or delivery went wrong.
How do you make sure safety rules are followed on a busy shift?
How have you used spreadsheets in your work?
Tell me about a time you had to enter or check a lot of data accurately.
Tell me about a sale or agreement you are proud of.
A prospect says your price is too high. How do you respond?
How do you keep your pipeline organised?
Tell me about a technical problem you solved on your own.
You find a bug right before a release. What do you do?