Data Scientist
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 45d ago
The date the source published, not the day we noticed it (2026-08-26). Last seen at its source 3h ago.
We have tracked this listing since 5 Oct 2026 (5 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $1,200–1,500/mo
Middle 50% of 13 listings that do state pay — Operations · all levels · Brazil · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Ashby employer's own board first seen 5d ago · last seen 3h ago
The listing
Pyyne is a modern technology consultancy engineering the next generation of digital products and services.
At Pyyne, we believe in using technology to unlock business potential, create sustainable growth, and drive forward digital excellence. Our solutions range from advanced Software Engineering, Cloud, and Data & AI solutions.
Job SummaryOur client is a prominent NYC-based health tech company. They are seeking a mid-level Data Scientist to conduct product analysis and help design & evaluate A/B tests.
The Data Science team currently consists of 4 other Data Scientists, who work together to tackle a variety of projects each week.
A successful candidate in this role will be comfortable working closely with stakeholders across the data and business teams.
Key Responsibilities
Product Analysis:
Answer insightful analysis questions from stakeholders across the Product org
Be able to ramp up on how different parts of the product & our data model function, to pull accurate results
Partner with PMs and Engineers to design key metrics for different initiatives
Experiment Analysis:
Be the “stats expert” alongside PMs to ensure we design effective experiments
Understand and be able to intuitively explain concepts like power & sample size
Analyze experiment results to determine what is statistically significant, being able to take into account common pitfalls and “p-hacking” that can happen with A/B testing
Specific Deliverables (First 3-6 months):
Ramp up on a particular product area and start answering ad hoc insight questions from there
Design an experiment (with another DS there to mentor), see it launch, and then analyze it
Give feedback on new team processes and come up with an idea to iterate / make a new one
Must Have Skills:
You have 3+ years of Python and SQL experience in a Data Science environment, to aggregate, transform, and analyze data and conduct statistical analysis
You have 3+ years of experience designing statistical tests and running A/B tests
You have a proven track record of building successful stakeholder relationships across a range of teams and levels
You have the ability to distill down complex data concepts and systems to non-technical stakeholders, both in writing and live conversations
You have experience building predictive models using statistical and ML techniques and working closely with Engineering to bring your models to production
You have demonstrated curiosity about AI and language models through coursework, projects, or independent exploration
Nice to Have Skills
You have experience working with digital consumer subscription products
You have expertise in survival models, advanced LTV/CRM modeling, and growth accounting
You have experience working with stakeholders in a number of cross functional areas, ranging from Product to Marketing to Finance to Engineering
You have experience with AI-native developer tools such as Cursor, Codex, or Claude Code
You have first-hand experience in data modeling and writing your own data pipelines
🚀 Don’t meet every single requirement? Apply anyway! At our core, we value growth, adaptability, and passion just as much as a checklist of skills. If you are excited about this role and your experience doesn't align perfectly with every tech requirement, we still encourage you to apply. The only non-negotiable for us is fluent English, as you'll be collaborating daily with global teams. If you’ve got the language skills and the drive to learn, you might be exactly who we are looking for to bring a fresh perspective to our team!