Data Scientist

Description

Job Summary: At Xpand IT, the Data Science team transforms data into impactful solutions, participates in end-to-end projects, and leads R&D initiatives focused on GenAI and LLMs. Key Highlights: 1. Transform data into impactful solutions using advanced modeling 2. Participate in end-to-end projects and lead R&D initiatives 3. Focus on GenAI, LLMs, and cutting-edge technologies **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 market-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 be: Developing and training predictive models, recommendation systems, and machine learning algorithms; Leading R\&D initiatives by conducting research and developing proofs of concept (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; **Ensuring the full project lifecycle:** extraction, preparation, manipulation, and optimization of models; 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) developing and training machine learning models and data mining algorithms. Proficiency in Python Proficiency in 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, create proofs of concept (PoCs), and evaluate new tools or frameworks. Languages Fluency in Portuguese and English (written and spoken) is mandatory. **Bonus Points:** Practical experience with GenAI, LLMs, and Prompt Engineering techniques; Strong knowledge of statistics (regressions, distributions, normality tests); Experience with AI services in public cloud environments (Azure, Google Cloud or AWS); Passion for sharing technical knowledge and staying updated on market trends.