Data Scientist

💻 100% remote 📍Location: Poland 📅 Full-time engagement (long-term cooperation preferred)) Join a team that builds solutions for global leaders We are an IT services company specializing in building cutting-edge data platforms for large enterprises worldwide. Our solutions help some of the biggest global corporations stay ahead in a fast-changing digital landscape What makes us different? 👉 A team of experienced consultants — mostly senior-level experts 👉 Real impact on large-scale, business-critical systems 👉 A strong focus on quality, innovation, and knowledge sharing Join Halcyon Labs to shape data ecosystems for top global brands. We drive innovation, improve customer experiences, and empower decision-making with cutting-edge data platforms. At Halcyon Labs, you’ll work on impactful, international projects while enjoying real work–life balance in a collaborative and inspiring environment. About the Role We are looking for an experienced Data Scientist to join our team and drive data-driven innovation in industrial and manufacturing environments. In this role, you will develop and deploy advanced analytics and machine learning solutions to optimize processes, improve efficiency, and support sustainability initiatives. You will work at the intersection of data analysis, machine learning, and engineering—transforming complex industrial data into actionable insights and scalable production solutions. Key Responsibilities Develop and implement machine learning models to optimize industrial processes, improve performance, and support decision-making. Analyze large and complex datasets (including time-series and sensor data) to identify patterns, anomalies, and opportunities for optimization. Collaborate with engineering and operations teams to translate business challenges into data-driven solutions. Design, build, and maintain data pipelines and workflows for data processing, feature engineering, and model deployment. Create clear and impactful visualizations and dashboards to communicate insights to both technical and non-technical stakeholders. Monitor and improve model performance over time, addressing issues such as drift, data quality, and reliability. Contribute to the development of scalable data and analytics infrastructure in cloud environments. Support initiatives related to energy efficiency, sustainability, and CO₂ reduction through advanced analytics. Requirements Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. Strong analytical skills with experience in exploratory data analysis and working with complex datasets. Hands-on experience in developing and applying machine learning or statistical models in practical use cases. Advanced proficiency in Python, including experience with data analysis and visualization libraries (e.g., Pandas, Matplotlib, Seaborn, Plotly). Experience with data architectures such as databases, data lakes, and ETL/ELT pipelines. Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud). Experience with machine learning libraries such as scikit-learn, XGBoost, or TensorFlow. Understanding of industrial processes or experience working in manufacturing/heavy industry is a strong advantage. Strong communication skills and ability to present insights clearly. Fluency in both spoken and written English and Polish is required. Nice to Have Experience with time-series data and industrial process monitoring. Experience building dashboards using tools like Streamlit or Dash. Knowledge of MLOps practices and tools for model deployment and monitoring. Familiarity with Docker and containerization. Experience in sustainability, energy optimization, or CO₂ reduction projects. Knowledge of cement, asphalt, or concrete production processes. What’s in it for you? ✨ Certification & training budget to support your growth 🏡 Flexible work model — remote or hybrid, your choice 🏥 Access to private medical care & sports card 📚 Additional training opportunities 🤝 Supportive, knowledge-sharing environment with senior experts 🚀 Opportunity to grow within a high-impact, international project Hiring process — simple & transparent 1. Quick HR call to get to know you 2. Technical meeting with a Manager or Architect 3. Feedback & next steps