**About the position:** **Position:** Data Scientist **Location:** Rua Quintino Bocaiúva, 876 \- City of São Carlos **Salary:** Negotiable — We will consider the candidate's salary expectations. **Schedule:** Monday to Friday \- Work Model: On-site Employment: PJ or CLT **Working hours:** 8:00 AM to 6:00 PM **Benefits:** * Transportation allowance (VT) * Lunch provided on-site * Health insurance (fully covered by the company for employees; dependent coverage available at a subsidized rate) * Profit and Results Sharing (PLR) Job Summary We are seeking a Data Scientist with solid experience in predictive modeling, complex data analysis, and application of machine learning techniques, especially on physicochemical and spectral signals. The professional will work on innovative projects, collaborating with multidisciplinary teams and contributing to the development of intelligent solutions applied to spectral analysis and computer vision. Education Requirements Bachelor’s degree completed in one of the following fields (or related areas with emphasis on data and modeling): * Data Science, Statistics, or Applied Mathematics * Computer Science or Computer Engineering * Natural Sciences (Physics, Chemistry, Computational Biology/Bioinformatics) Desired Experience **2 to 3 years of experience in the following areas:** * Development and maintenance of data pipelines * Modeling and analysis of complex data: spectra, signals, images, time series * Implementation of machine learning models (classification and regression) * Computer vision (classification, detection, segmentation) * Neural networks for sequential data (RNNs, LSTMs) * Programming in Python with libraries such as Scikit\-learn, PyTorch * Statistical analysis and feature engineering Responsibilities and Activities * Develop and train Machine Learning models applied to spectral data * Perform preprocessing of spectral signals and other complex inputs * Create and maintain structured databases for training and validation * Write clean, modular, and well-documented code * Automate analytical tasks and ensure reproducibility of results * Monitor and evaluate model performance using appropriate metrics * Collaborate with software, electronics, and applications teams * Prepare technical reports and present results clearly and objectively Thank you for your attention, and we look forward to your participation in our selection process. **Minimum Education Level:** Bachelor’s Degree