Job Summary: We are seeking a Data Scientist & Machine Learning Engineer to solve real-world problems across diverse industries, applying data science techniques and predictive modeling. Key Highlights: 1. Solving real-world problems across diverse industries 2. Focusing on implementing solutions with impact and value 3. Applying advanced Data Science and Machine Learning techniques Data Science Mid\-level Lisbon, Braga, Viana do Castelo The Data Science team is dedicated to data analysis and modeling, addressing varied and multidisciplinary problems by leveraging expertise from multiple domains (mathematics, software engineering, and machine learning algorithms). Our focus lies in implementing impactful, value-generating solutions. With this objective in mind, we place strong emphasis on our development methodologies and problem-solving approaches. Python is our primary programming language, applied in distributed fashion whenever necessary to enable scalable solution implementation. Key Responsibilities As a Data Scientist \& Machine Learning Engineer, you will have the opportunity to solve real-world problems within leading industries (Education, Science, Banking, Telecommunications, and Distribution). Your mission will be to apply various data science techniques—including training and modeling of predictive models, as well as data analysis and visualization—to domain-specific challenges, extracting valuable insights through data extraction, preparation, and manipulation of large-scale datasets. **Daily Responsibilities:** Implement solutions for data extraction, transformation, and standardization to convert raw data into intelligible and relevant information; Research, analyze, and implement modern and efficient algorithms to maximize utilization of the dataset under analysis; Conduct exploratory data analyses and prepare data-based reports enabling actionable conclusions; Optimize end-to-end solutions using machine learning models / insights derived from data analysis. **Tech Stack:** Python, PySpark, R Requirements Academic Qualifications Bachelor’s and/or Master’s degree in Computer Science, Information Systems, Mathematics, Computer Engineering, or related fields. Professional Experience Minimum 1 year of experience as a Data Scientist, with solid knowledge of SQL, data manipulation, and visualization techniques. Technical Knowledge Experience in Python programming, particularly with machine learning and mathematical libraries such as NumPy, SciPy, scikit\-learn, pandas, Keras, TensorFlow, PyTorch, or PySpark. Machine Learning Knowledge Experience with both supervised and unsupervised machine learning techniques, as well as data mining algorithms and pattern recognition. Data Exploration Enthusiasm for data exploration, preparation, and transformation—turning raw data into useful information. Languages Proficiency in English, both spoken and written. **Bonus Points:** Experience with Microsoft Azure, GCP, and/or AWS; Knowledge of statistics and mathematical concepts, such as linear and logistic regression, data distributions, and normality tests.