Sr. 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 1d 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 1d ago
The date the source published, not the day we noticed it (2026-10-09). Last seen at its source 1h ago.
We have tracked this listing since 9 Oct 2026 (1 days). The employer's own board has carried it every time we have read it, most recently 1 hour 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 1d ago · last seen 1h 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 SummaryPyyne is seeking a Senior Data Scientist with experience building and deploying statistical and machine learning solutions to work as a consultant out of our Latin American Office. This is a high-impact role for Pyyne as we begin a new engagement with a large US-based e-commerce retailer, and this is the first technical role on the project.
A successful candidate in this role will partner with a Pyyne Project Manager and the client's head of data to turn business questions into models and analyses that stakeholders can act on.
Key ResponsibilitiesTranslate business questions from stakeholders into well-defined analytical problems, and explain findings and trade-offs clearly to technical and non-technical audiences.
Explore, clean, and validate data from multiple sources, building reliable datasets and features for analysis and modeling.
Design, train, and evaluate statistical and machine learning models, choosing the simplest approach that solves the problem.
Design and analyze experiments (for example A/B tests) and define metrics that measure business impact.
Work with the client's data and engineering teams to move models and analyses into production and keep them monitored over time.
Write clean, tested, reproducible code and document assumptions, methods, and results so others can build on them.
Work closely with team members to keep progress visible and raise risks early.
Must Have Skills:
4+ years of professional experience as a Data Scientist or in a comparable applied machine learning or advanced analytics role
Strong Python (pandas, scikit-learn, or equivalent) and SQL
Solid foundation in statistics and machine learning, including model selection, validation, and experiment design
Track record of taking analyses or models from exploration to something stakeholders actually use, and explaining results to non-technical audiences
Advanced English, spoken and written, for daily collaboration with client stakeholders
Nice to Have Skills:
Experience in e-commerce, retail, or manufacturing use cases such as demand forecasting, pricing, or customer analytics
Experience deploying and monitoring models in production (MLOps) on a cloud platform such as AWS, GCP, or Azure
Familiarity with modern data stack tools such as dbt, Snowflake, BigQuery, or Databricks
Experience with BI and visualization tools such as Tableau, Looker, or Power BI
Prior experience in a consulting or client-facing environment
Benefits:
Flexible remote working environment.
Career development opportunities in a fast-growing company.
🚀 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!