Data Scientist The Role: Are you passionate about transforming complex data into intelligent, business-driven solutions? Do you enjoy solving challenging problems, developing cutting-edge machine learning models, and collaborating with highly skilled professionals? We are looking for a Senior Data Scientist to join our growing Data Science team. In this role, you will play a key part in designing and delivering innovative data products that create measurable business impact. You'll work with large-scale datasets, advanced machine learning techniques, and modern technologies while collaborating with multiple teams, and business stakeholders to bring data-driven solutions into production. ### The main responsibilities of the position include: - Lead the design, development, and delivery of high-impact data science and machine learning solutions. - Translate complex business challenges into structured analytical approaches and scalable data products. - Build, evaluate, and optimize advanced machine learning models, ensuring high standards of quality, performance, and reliability. - Contribute to technical decisions and best practices across the data science lifecycle. - Review and validate data preparation, feature engineering, model selection, experimentation, and documentation. - Support the deployment and operationalization of machine learning models in batch and real-time environments. - Present analytical insights and recommendations to technical and non-technical stakeholders. - Ensure compliance with data quality, model governance, security, privacy, and responsible AI standards. - Identify opportunities to leverage data science for automation, forecasting, personalization, optimization, and risk management. - Collaborate closely with Data Engineers, Machine Learning Engineers, Software Engineers, Product Owners, and business stakeholders to develop production-ready solutions. - Contribute to improving team processes, technical standards, and project delivery methodologies. - Support the Lead Data Scientist in defining priorities, roadmaps, and strategic initiatives. ### Main requirements: - University degree in Mathematics, Physics, Engineering, Computer Science, Data Science, or a related field. - At least 5 years of experience in a similar role. - Hands-on experience with Python libraries such as Pandas, NumPy, and Polars for data processing and analysis. - Strong Python programming skills with the ability to write clean, maintainable, and production-ready code. - Strong knowledge of modern machine learning techniques and advanced architectures, including Transformers and Graph Neural Networks (GNNs). - Experience with data visualization libraries such as Matplotlib, Seaborn, and Plotly. - Good knowledge of SQL and statistical analysis. - Excellent analytical thinking and problem-solving skills. - High attention to detail and commitment to delivering high-quality solutions. - Strong communication skills with the ability to explain technical concepts to non-technical audiences. - Excellent verbal and written communication skills in English. - A collaborative mindset, curiosity, and a passion for continuous learning. ### What would be considered as an advantage: - Exposure to Natural Language Processing (NLP). - Experience working with NoSQL databases. - Knowledge of software engineering best practices. - Experience working in Unix/Linux environments. - Basic understanding of AWS services and cloud-based machine learning environments. ### Benefit from: - Attractive remuneration package plus performance related reward - Private health insurance - Corporate pension fund - Intellectually stimulating work environment - Continuous personal development and international training opportunities ### The Hiring Experience: What Awaits You - Let’s Connect – Intro Chat with Talent Acquisition - Deep Dive – First Interview with Your Future Team - Bring It to Life – Role-Specific Take-Home Task - Final Connection – Final Interview All applications will be treated with strict confidentiality!