Description
**Transforming people's lives through innovation and technology** — this is our purpose. We are looking for a Data Scientist who wants to drive innovation with us!
We are a Research and Development Institute composed of an extraordinary team of people with innovative ideas, fostering a relaxed environment and strong collaborative spirit.
We promote a **development-oriented environment** in our day\-to\-day operations, where Atlantes are our top priority; thus, one of our strongest values is **“People Appreciation.”** It’s no coincidence that we rank among the best IT companies to work for in Brazil, according to the GPTW ranking.
**Education:**
* Currently pursuing a bachelor’s degree in Computer Science, Software Engineering, or related fields.
**Experience:**
* **Success Cases:** Practical experience in Data Science and Machine Learning projects, mastering all stages of the Data Science project lifecycle.
* **Machine Learning \& Deep Learning:** Supervised, unsupervised, and reinforcement learning algorithms, as well as Deep Neural Networks (TensorFlow, Keras, or PyTorch; CNN, RNN, Transformer architectures).
* **Advanced Python programming:** Data manipulation, pipeline development, API integrations, and automation (Pandas, NumPy, Scikit\-learn, XGBoost/LightGBM, etc.).
* **Explainable Artificial Intelligence (XAI) techniques:** Practical knowledge of SHAP, Partial Dependence Analysis, etc.
* **Feature Engineering, Statistics \& Probability:** Familiarity with statistical evaluation metrics (R², MAE, RMSE), hypothesis testing, regression analysis, probability distributions, ANOVA, predictive modeling, and cross-validation techniques.
**Desirable (Advantages):**
* Prior experience in Industry 4\.0 projects and industrial manufacturing processes.
* Familiarity with relational databases and ETL/ingestion pipelines.
* Experience handling time-series data, IoT data, or industrial data (PLCs, sensors).
* Knowledge of integration with factory systems (SCADA systems, PLCs, industrial ERPs).
* Experience with MLOps, model degradation monitoring (*Model Drift*), and production deployment.
* Language: Intermediate English
***Join Atlante!!!***