Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist, Places
- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
Remote — work setting source
- Employment
Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDefine and evolve success metrics for all user-facing surfaces
Define and maintain business metrics, semantic layers, and data models
Turn product requirements into scalable data assets with Data Engineering
Turn insights into clear recommendations that shape roadmap priorities
Build a high-fidelity experimentation culture to scale wins quickly
From the employer’s posting
Own the definition and evolution of success metrics for all user facing surfaces
Define and maintain business metrics, semantic layers, and data models to ensure consistency and trust across the Places team.
Own, in partnership with Data Engineering, the translation of product requirements into scalable, reliable data assets
Influence product direction by uncovering and translating insights into clear recommendations that shape roadmap prioritization.
Build out a culture of high fidelity experimentation to scale wins quickly
What you’ll bring
All qualificationsCore experience
- 5+ years of data science and product analytics experience
- Familiarity in delivering data products through partnership with Data and product engineering teams.
- Familiarity with modern analytics and experimentation tools
- Familiarity with consumer focused .
Qualification wording
5+ years of data science and product analytics experience
Familiarity in delivering data products through partnership with Data and product engineering teams.
Familiarity with modern analytics and experimentation tools
Familiarity with consumer focused .
Posting record
Report an errorActively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 31, 20264 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 4
Early. Similar jobs usually come down between day 7 and day 55.
From 9,990 similar postings that came down. Coming down is not always a hire.
Raya is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
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.
- Python
- SQL
Where the posting names them
- Familiarity in delivering data products through partnership with Data and product engineering teams. - Strong technical fluency with analytical tools such as SQL and Python, or equivalent experience using data to answer open-ended business questions. - Strong applied statistics background, including hypothesis testing, confidence intervals, power analysis, and causal inference techniques.
Your next step
Complete your application on jobs.lever.co. The employer’s form will show what is required.
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Already applied? Track this application
About the role
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.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
As a Data Scientist on the Places by Raya team you will play a key role that will shape how the Places app uses data to drive business decisions. This hands-on role combines data modeling and reporting with product analysis and experimentation. While the product itself has existed since 2023 the culture is very much like a new start-up with leadership being heavily invested in this product space and this role being the first dedicated Data Scientist to this space and supported by a dedicated Data Engineer.
We are seeking an entrepreneurial and driven data scientist to identify opportunities to improve retention and help the team evaluate and act on them. This will be a fun role for someone who wants to build data solutions from the ground up and help shape how the entire team uses insights. This person should be able to articulate best practices, develop new analytical frameworks that tie user actions to outcomes, and strike the right balance between analytical rigor and pragmatic business action.
Successful candidates will demonstrate technical skills, product expertise, and business acumen, and be enthusiastic about making a positive impact through timely execution. You are passionate about leveraging the power of data to drive product changes with quality and agility and can demonstrate sound judgment under uncertainty.
We offer comprehensive medical and dental coverage, $50 a day food delivery budget, equity based employment, a great culture, learning opportunities, unlimited vacation, 12 weeks paid parental leave, and we pay all employees $1,000 a year to go somewhere in the world that they've never been because of our values of human connection, empathy, and curiosity.
Responsibilities
-
Own the definition and evolution of success metrics for all user facing surfaces, including tradeoffs between short-term and long-term member value.
-
Define and maintain business metrics, semantic layers, and data models to ensure consistency and trust across the Places team.
-
Own, in partnership with Data Engineering, the translation of product requirements into scalable, reliable data assets that empower efficient decision-making
-
Influence product direction by uncovering and translating insights into clear recommendations that shape roadmap prioritization.
-
Build out a culture of high fidelity experimentation to scale wins quickly
-
Using visualisations to convey nuance with clarity
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AI-native mindset and hands-on experience using LLMs, agents, and modern AI tools to automate analysis, accelerate experimentation, and build scalable decision-support workflows
Qualifications
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5+ years of data science and product analytics experience
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BS and/or MS in a quantitative discipline: statistics, operations research, computer science, engineering, applied mathematics, physics, economics, etc.
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Familiarity in delivering data products through partnership with Data and product engineering teams.
-
Strong technical fluency with analytical tools such as SQL and Python, or equivalent experience using data to answer open-ended business questions.
-
Strong applied statistics background, including hypothesis testing, confidence intervals, power analysis, and causal inference techniques.
-
Familiarity with modern analytics and experimentation tools
-
Familiarity with consumer focused .
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Strong in proactive verbal and written communication, ability to convey rigorous statistical concepts to non-experts.
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Practical AI fluency and curiosity about how modern AI tools can improve analytical workflows, strategic synthesis, and decision support.
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Bonus points for familiarity with optimization of performance marketing efforts
Employment type
Full-time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Remote
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.