We are looking for professionals with experience in Data Science to join our team. The professional will work daily with data from various sources and of the most diverse types, building solutions through data analysis techniques, machine learning models, reports, and dashboards **Responsibilities and duties** * Strong foundation in applied statistics: distributions, mean/variance, correlation, sampling, basic hypothesis testing concepts, confidence intervals, and interpretation of results; * Practical knowledge of supervised Machine Learning: regression and classification, trees/ensembles (Random Forest/Gradient Boosting), metrics (AUC, F1, Precision/Recall, RMSE/MAE), validation (train/val/test, cross-validation), overfitting/underfitting, and regularization; * Hands-on experience with Python for Data Science (Pandas, NumPy, scikit-learn) and notebooks (Jupyter/Colab); * Intermediate SQL knowledge for data extraction and analysis; * Basic feature engineering: handling missing values, encoding, scaling, outlier detection, and feature creation; * Basic NLP knowledge: text preprocessing and tokenization, text representation (TF-IDF, embeddings), common tasks (classification, similarity), basic metrics; * Basic Deep Learning knowledge: concepts (loss, backpropagation, regularization), when DL makes sense compared to traditional models (trade-offs); * Ability to communicate insights: clear visualizations and storytelling for both technical and non-technical audiences; * Good minimal engineering practices: Git, code organization, basic documentation, and reproducibility. **Requirements and qualifications** **Differentiators**: * Initial experience with PyTorch or TensorFlow/Keras (training simple models); * Experience with modern NLP (Transformers at usage/experimentation level); * Knowledge of experiment tracking (MLflow, Weights & Biases) and/or reproducible pipelines; Experience with simple deployment (batch scoring, API, notebook* pipeline); * Participation in projects, publications, open-source contributions, or competitions (e.g., Kaggle), with demonstrable results. **Languages** * Intermediate English (reading documentation and research papers). **Academic background** * Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, Physics, or related fields. **Soft Skills** * Willingness to learn and continuously grow, especially in data and generative AI; * Strong communication skills to ask questions, explain simple analyses, and share learnings with the team; * Organization and attention to detail when working with data and documentation; * Analytical thinking to understand problems and interpret results with team support; * Openness to feedback and technical guidance; * Ability to work collaboratively in a team on a day-to-day basis; * Proactivity in helping with tasks, testing, and simple improvements; * Accountability for deadlines and agreed deliverables. **Additional information** Hybrid opportunity in **Recife-PE**. **What we expect from all \#SiDiers:** Embrace the new Maintain open and direct dialogue Continuously develop Always do your best Build in partnership Think big, move fast **What do we offer?** * **Work-life balance:** 40-hour weekly schedule under CLT regime, flexible hours with hybrid work (4 days in the office and 1 day remote); * **Well-being:** Gympass (WellHub, workplace gymnastics, Quick-massage, and psychological support); * **Health:** Medical and dental insurance for you and your family; * **Children:** Daycare allowance for miniSiDiers, 120-day maternity leave, and extended paternity leave; * **Future:** SiDi co-invests with you in private pension plans; * **Education:** Incentive program for continuing education and specialization, language fluency development, and weekly lectures on global *trend topics*; * **Meals:** Flexible meal and food vouchers; * **Transportation:** Transportation subsidy/reimbursement to reach SiDi and parking for those working at the office; * **Recognition:** Annual performance bonus and awards for SiDiers who achieved outstanding results; * **Diversity:** Committees focused on Well-being, Diversity, Mental Health, Social Impact, Sustainability, and Women in Tech; * **Modern offices:** Relaxed and collaborative environments with social spaces, decompression rooms, kitchenettes, and coffee machines; * **Want more?** Dozens of partnerships offering benefits and discounts! For us, inclusion is not just about adding one more person to our team—it’s about embracing differences and unique characteristics. It is precisely this blend of techniques, skills, and stories that inspires us to align diverse perspectives toward the same horizon—always moving forward. We operate in an environment of equal opportunity, regardless of gender, sexual orientation, religion, or disability. **All our positions are open to people with disabilities (PCDs).** JOB CODE: 5648 - N1 **We are one of Brazil’s largest science and technology institutes, and with a team of over 800 SiDiers that continues to grow, we are already present in Campinas, Manaus, and Recife—the largest technology and innovation parks in Brazil.** Because those who aspire to build projects that will transform the world cannot stop transforming themselves. In **20 years of history**, we have specialized in solving problems and **have delivered over 1,100 projects** impacting millions of lives—driving innovation and making the future happen now.