Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

What you’ll work on

You will work with your team, consisting of consultants, data scientists, and engineers, to identify client needs and define innovative solutions.
You will work in a collaborative team that promotes knowledge sharing.
Work across the entire project value chain (data collection and processing, exploratory data analysis, application of machine learning models, model production)

From the employer’s posting

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. Innovate. You will work with your team, consisting of consultants, data scientists, and engineers, to identify client needs and define innovative solutions. Learn and Share. You will work in a collaborative team that promotes knowledge sharing. You will learn from others, share knowledge, and stay up to date with industry news/updates

Innovate. You will work with your team, consisting of consultants, data scientists, and engineers, to identify client needs and define innovative solutions. Learn and Share. You will work in a collaborative team that promotes knowledge sharing. You will learn from others, share knowledge, and stay up to date with industry news/updates Develop. You will be involved in the solution from start to finish. With the help of senior scientists, you will manage the design and implementation, as well as optimize performance and scalability.

Develop. You will be involved in the solution from start to finish. With the help of senior scientists, 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, can work in a team with very diverse profiles

Tools in this posting

R
Python

Source

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.

Benefits in the posting

Full benefits wording

Meal/Transportation Allowance (VR/VT)
Gympass
Insurance: Life, Health, and Dental
Why you should join us

From the employer’s posting.

About LinkedIn Job Wrapping

At Artefact LatAm, we believe in and live a culture based on empathy!

In the employer’s words · Read in context

Job description

View original posting ↗

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.

Innovate. You will work with your team, consisting of consultants, data scientists, and engineers, to identify client needs and define innovative solutions.
Learn and Share. You will work in a collaborative team that promotes knowledge sharing. You will learn from others, share knowledge, and stay up to date with industry news/updates
Develop. You will be involved in the solution from start to finish. With the help of senior scientists, 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, can work in a team with very diverse profiles
Prioritize your tasks, respect deadlines, and raise your hand in case of risks or problems

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.

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.
Collaboration: knowledge sharing is essential for you and you actively participate in the dissemination of information within Artefact.
Entrepreneurship: you bring solutions, new ideas, innovations.
Fluent English: You are comfortable communicating in English, as it is essential for working in our international environment

What we offer:

Meal/Transportation Allowance (VR/VT)
Free Office (work from home or anywhere you want!)
Gympass
Insurance: Life, Health, and Dental
Bi-monthly Meetings (our “Get Together” where we meet to be together, with workshops, lectures, training, and a happy hour!)
Woba (you can book coworking spaces anywhere you want!)
Semi-annual evaluations (with opportunities for promotion)

Why you should join us

Artefact is the place to be: come and build the future of marketing
Progress: every day offers new challenges and new opportunities to learn
Culture: join the best team you could ever imagine
Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Come join us!

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected 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: 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
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at job-boards.greenhouse.io ↗Read the full description ↓