Data Scientist

Description

Job Summary: At Xpand IT, the Data Science team is dedicated to transforming data into impactful solutions through advanced modeling and industry-leading algorithms. Key Highlights: 1. Participate in end-to-end Data Science projects 2. Lead R&D initiatives in GenAI and LLMs 3. Collaborate with engineering and business teams **Team:** Data Science **Level:** Mid\-level **Offices:** Lisbon, Braga At Xpand IT, the Data Science team is dedicated to transforming data into impactful solutions through advanced modeling and industry-leading algorithms. We tackle complex problems—from optimization and forecasting to recommendation systems—ensuring scalable, robust solutions deployed in real-world contexts. Our work goes beyond model creation: it includes building pipelines, integrating with existing systems, and collaborating closely with engineering and business teams. Key Responsibilities As a Data Scientist, you will participate in end-to-end projects—from raw data collection and processing to model deployment in production. You will also have a strong research component, responsible for exploring the market and emerging technologies. Your focus will include: Developing and training predictive models, recommendation systems, and Machine Learning algorithms; Leading R\&D initiatives by conducting research and developing PoCs to test new technologies and approaches (e.g., GenAI and LLMs); Building and maintaining batch and near real\-time data and machine learning pipelines, and evaluating trade\-offs among performance, cost, and complexity; **Ensure full project lifecycle management:** data extraction, preparation, manipulation, and model optimization; Collaborating with engineering and business teams to translate real-world problems into data-driven solutions. **Tech Stack:** **Primary language:** Python (Pandas, NumPy, Scikit\-learn); **Deep learning:** TensorFlow, Keras, PyTorch; **Data \& ML:** PySpark, MLflow, Airflow, Azure ML; **GenAI:** LLMs, Llama; **Cloud:** Azure, Google Cloud or AWS; **Exploration:** SQL and data visualization tools. Requirements Academic Qualifications Bachelor’s or Master’s degree in Computer Engineering, Mathematics, Data Science, or related fields. Data Science Experience Solid experience (minimum 1 year) in developing and training Machine Learning models and Data Mining algorithms. Proficiency in Python Strong command of the Python ecosystem for data and mathematics (NumPy, SciPy, Pandas, Scikit\-learn). End-to-End Project Experience Practical experience across all phases of a data project—including raw data preparation and database manipulation (SQL). Research \& Experimentation Ability to conduct technical research, build proofs of concept (PoCs), and evaluate new tools or frameworks. Languages Fluency in both Portuguese and English (written and spoken) is mandatory. **Bonus Points:** Practical experience with GenAI, LLMs, and Prompt Engineering techniques; Strong statistical knowledge (regressions, distributions, normality tests); Experience with AI services in public cloud environments (Azure, Google Cloud or AWS); Passion for sharing technical knowledge and staying up-to-date with market trends.