About the role
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
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