Senior Data Scientist

Responsibilities Accountabilities

Key Responsibilities
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 Qualifications Profile As a Data Scientist, you: 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 Aperam is a global leader in stainless, electrical, and specialty steels, as well as recycling and renewables, serving customers in over 40 countries. Our business is structured into four segments: Stainless & Electrical Steel, Services & Solutions, Alloys & Specialties, and Recycling & Renewables. We have a flat stainless and electrical steel production capacity of 2.5 million tonnes in Brazil and Europe, and we lead in alloys and high-value specialty products. Our industrial network includes 16 production facilities across Brazil, Belgium, France, the United States, India, and China. Aperam operates an integrated distribution, processing, and services network, with a unique ability to produce low-carbon stainless and specialty steels using biomass, stainless steel scrap, and high-performance alloys scrap. Through BioEnergia, we produce charcoal from our own FSC®-certified forests, and with ELG
- Aperam Recycling, a global leader in stainless steel and high-performance alloys recycling, we place sustainability at the core of our business, enabling our customers to thrive in the circular economy. Join us and be part of a dynamic team where technology and innovation meets industrial transformation. Your talent and energy will help drive smarter, more sustainable solutions for a global company committed to be a leading value creator in the circular economy of infinite, world-changing materials. Visit https://www.aperam.com/ to learn more
- and let’s build what’s next, together.