Avenida das Nações Unidas, 12901, 11° andar São Paulo
Open 6 months, first seen by us 204 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Design, develop and deploy end-to-end machine learning models
Develop and refine complex data features from large-scale datasets
Monitor and troubleshoot deployed models for drift and data quality issues
Define requirements for robust datasets used in analytics and modeling
Mentor and coach junior data scientists and analysts
Design, develop, and deploy end-to-end machine learning models
Develop and refine complex data features from large-scale datasets
Monitor, analyze, and troubleshoot the performance of deployed models
defining the requirements for robust datasets needed for advanced analytics and modeling
Mentor and coach junior data scientists and analysts
Strong communication and interpersonal skills, with the ability to collaborate across multiple teams and levels of the organization.
Demonstrated ability to balance hands-on technical delivery with mentoring and team enablement.
You have practical experience with several tools and technologies in the modern data stack, such as:
From the employer’s posting.
At Artefact Brasil, we believe in and live a culture based on empathy!
In the employer’s words · Read in context
Open 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 204
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 10,201 similar postings that came down, and 19 of LinkedIn Job Wrapping’s. Coming down is not always a hire.
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What you will be doing: We're looking for a qualified Senior Data Scientist with Python/Pyspark experience to join our data team. In this role, you'll be responsible for designing, building, and maintaining scalable data products that support our analytics and data-driven products. - Design, develop, and deploy end-to-end machine learning models, from data acquisition and feature engineering to production monitoring.
You have practical experience with several tools and technologies in the modern data stack, such as: - Programming Languages: *Strong skills in Python for data science (pandas, numpy, scikitlearn, pyspark) *[Nice to Have] Experience with a deep learning framework like PyTorch or TensorFlow/Keras - Cloud Data Platforms:Hands-on with at least one of *Google Cloud Platform (GCP), AWS, Azure, Databricks
- Cloud Data Platforms:Hands-on with at least one of *Google Cloud Platform (GCP), AWS, Azure, Databricks - Data Warehousing & Databases: Familiar with tools such as *PostgreSQL, SQL Server, BigQuery, Snowflake - Machine Learning models: Experience with: *Supervised learning models (xgboost, logistic regression, etc) *Unsupervised learning models (clustering algorithms)
- Programming Languages: *Strong skills in Python for data science (pandas, numpy, scikitlearn, pyspark) *[Nice to Have] Experience with a deep learning framework like PyTorch or TensorFlow/Keras - Cloud Data Platforms:Hands-on with at least one of *Google Cloud Platform (GCP), AWS, Azure, Databricks - Data Warehousing & Databases: Familiar with tools such as *PostgreSQL, SQL Server, BigQuery, Snowflake
- Machine Learning models: Experience with: *Supervised learning models (xgboost, logistic regression, etc) *Unsupervised learning models (clustering algorithms) - MLOPS: Experience with at least one: *Databricks, mlflow, AWS Sagemaker, Vertex AI *Git code versioning workflow and platforms (Github, Azure Devops, Gitlab etc) What we offer:
- Data Warehousing & Databases: Familiar with tools such as *PostgreSQL, SQL Server, BigQuery, Snowflake - Machine Learning models: Experience with: *Supervised learning models (xgboost, logistic regression, etc) *Unsupervised learning models (clustering algorithms) - MLOPS: Experience with at least one: *Databricks, mlflow, AWS Sagemaker, Vertex AI *Git code versioning workflow and platforms (Github, Azure Devops, Gitlab etc)
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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.
A abertura atual é para a Artefact do Brasil, estamos em modelo Free Office. #LI-Remoto
Who we are
At Artefact Brasil, 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.
We are committed to building 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 with us!
Come and be Artefact!
What you will be doing:
We're looking for a qualified Senior Data Scientist with Python/Pyspark experience to join our data team. In this role, you'll be responsible for designing, building, and maintaining scalable data products that support our analytics and data-driven products.
What we are looking for:
A degree in Computer Science, Statistics, Engineering, Economics, or a related quantitative field.
Required Technical Experience;
You have practical experience with several tools and technologies in the modern data stack, such as:
What we offer:
Why you should join us
Join us!
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Avenida das Nações Unidas, 12901, 11° andar São Paulo
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