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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Aperam - **Location:** Genk, Belgium - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Computer Vision, Microsoft Azure, Big Data, Data Visualization, Decision Support Systems, Python (Programming Language), Machine Learning, Microsoft Data Access Components, Raw Data, Power BI, Tensorflow, SAP Project System, Software Engineering, SQL Databases, Cloud Platform System, Feature Engineering, Pytorch, Apache Spark, Generative AI, Matplotlib, Pyspark, Scikit Learn, Information Technology, Deployment Automation, Data Analytics, Plotly, Machine Learning Operations, Software Library, Databricks - **Published:** July 26, 2026 - **Apply:** https://www.adzuna.be/details/5816050098 ## About the Role * Hold a Master's or PhD in Data Science, Computer Science, Mathematics, or a related field * Have 7+ years of experience in data science, preferably in an industrial or manufacturing environment * Have led a team of junior data scientists and coached/mentored them in projects * Are proficient in Python, SQL, and machine learning libraries (Scikit-learn, TensorFlow, PyTorch, etc.) * Have strong experience in exploratory data analysis (EDA), feature engineering, and statistical modeling * Have a solid understanding of time-series analysis, predictive maintenance, and industrial AI applications * Are familiar with big data platforms and cloud environments (Azure, Databricks, Microsoft Data Fabric), and experience with Spark (PySpark or Scala) for big data processing is a plus * Have experience with data visualization tools such as Power BI, Matplotlib, or Plotly * Possess excellent problem-solving and analytical skills, with the ability to work on complex datasets * Have strong communication skills and can explain technical findings to non-technical audiences * Basic familiarity with the concepts of Computer Vision and Generative AI is a differential * Are fluent in English (both spoken and written); knowledge of French, or Dutch is a plus * Should be already working in the EU and ready to relocate to Genk ## Description * Data Collection & Preparation + Gather large-scale industrial data from various sources, including IoT sensors, MES, SAP systems, and external data repositories + Clean, preprocess, and structure raw data to ensure accuracy and usability * Exploratory Data Analysis (EDA) & Feature Engineering + Conduct exploratory data analysis to identify patterns, correlations, and anomalies in industrial processes + Develop and engineer new features to improve model performance and extract meaningful insights * Model Development & Optimization + Select and implement appropriate machine learning algorithms for predictive maintenance, process optimization, and quality improvement + Train and fine-tune models, ensuring they generalize well to real-world scenarios + Evaluate models using performance metrics and validation techniques * Deployment & Monitoring + Collaborate with IT and software engineering teams to deploy models into production environments + Monitor deployed models, detect performance drifts, and retrain models as needed * Industrial Use Cases & Decision Support + Work on data-driven use cases such as quality, predictive maintenance, energy optimization, and supply chain forecasting + Support business and operational teams by providing insights and recommendations based on model outputs * Collaboration & Communication + Work closely with cross-functional teams, including domain experts, business analysts, and industrial engineers + Translate complex data findings into actionable business insights, presenting them to both technical and non-technical stakeholders * Coaching and mentoring + Coach and mentor junior data scientists (including GCC roles) on advanced data science/modelling techniques + Lead multiple data science projects and guide junior team members on each project * Research & Continuous Improvement + Stay up to date with advancements in AI, machine learning, and industrial data science + Experiment with emerging technologies and methodologies to enhance data science capabilities within Aperam ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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