Avenida das Nações Unidas, 12901, 11° andar São Paulo
Open 4 months, first seen by us 124 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Define innovative solutions to client data needs with the team
Manage design and implementation of projects, optimizing performance and scalability
Work across the project value chain: data processing, exploratory analysis, ML models
Explain technical solutions to business-oriented colleagues
Prioritize tasks, meet deadlines, and flag risks or problems early
to identify client needs and define innovative solutions
you will manage the design and implementation, as well as optimize performance and scalability
Work across the entire project value chain (data collection and processing, exploratory data analysis, application of machine learning models, model production)
Demystify technical terms or solutions for more business-oriented profiles
Prioritize your tasks, respect deadlines, and raise your hand in case of risks or problems
Having completed an undergraduate course in data science, machine learning, mathematics, computer science, statistics, engineering, economics, or a related field
Fluent English: You are comfortable communicating in English
Desirable a first knowledge in statistics and programming (Python/R)
From the employer’s posting.
At Artefact LatAm, we believe in and live a culture based on empathy!
In the employer’s words · Read in context
Open 4 monthsWe first saw this posting 124 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 124
Up longer than most. Similar jobs usually come down between day 7 and day 56.
Well past LinkedIn Job Wrapping’s usual: its jobs come down by about day 62.
From 10,204 similar postings that came down, and 19 of LinkedIn Job Wrapping’s. Coming down is not always a hire.
24 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Having completed an undergraduate course in data science, machine learning, mathematics, computer science, statistics, engineering, economics, or a related field. - Desirable a first knowledge in statistics and programming (Python/R). - Curiosity: you are always looking for innovative solutions for your clients. You are involved in the entire value chain.
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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.
The current vacancy is for the Brazilian office and we work in a Free Office model. #LI-Remote
Who we are
At Artefact LatAm, we believe in and live a culture based on empathy!
A healthy work environment is a place where all voices are heard, respected, and valued.
Our commitment is to build a more diverse and inclusive environment, because empathy is for everyone, regardless of ethnicity, color, gender, sexual orientation, gender identity, disability, or religious belief.
We want incredible minds and hearts to join us! Come be Artefact!
What you will be doing:
You will join our Data and Consulting team, which helps clients transform and improve their data strategy by applying advanced analytics to generate insights that create business value from big data and artificial intelligence.
What we are looking for:
Having completed an undergraduate course in data science, machine learning, mathematics, computer science, statistics, engineering, economics, or a related field.
What we offer:
Why you should join us
Come join us!
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Avenida das Nações Unidas, 12901, 11° andar São Paulo
The current vacancy is for the Brazilian office and we work in a Free Office model. #LI-Remote Who we are
No clear work-authorization passage found. Eligibility is unconfirmed.