Luxembourg Job Openings

ArcelorMittal

Data Scientist

FULL TIME

August 12, 2024

Responsibilities
  • Business-Driven Insights:
    • Partner with business stakeholders to deeply understand their strategic objectives, key metrics, and pain points.
    • Translate business questions into quantifiable data science problems with clear success criteria.
    • Design and execute experiments to test hypotheses and drive data-informed decision-making.
  • Model Development & Deployment:
    • Develop and deploy machine learning models that directly address business needs, focusing on tangible ROI and impact.
    • Prioritize model interpretability and explainability to facilitate adoption and trust among stakeholders.
    • Continuously monitor model performance and adapt strategies to maintain accuracy and relevance in a dynamic business environment.
  • Data Storytelling & Communication:
    • Effectively communicate complex technical concepts and data insights to both technical and non-technical audiences.
    • Develop compelling data visualizations, dashboards, and reports to empower stakeholders with actionable information.
    • Advocate for data-driven decision-making across the organization, fostering a culture of data literacy and innovation.
Profile
  • 3+ years of experience in applying data science to solve business problems, ideally in industrial or manufacturing settings.
  • Proficiency in Python (pandas, scikit-learn, Tensor Flow/Py Torch)
  • Experience with other languages like SQL, and possibly Julia or Scala
  • Expertise in data wrangling and cleaning
  • Proficiency in libraries like pandas, Num Py
  • Knowledge of SQL for database querying
  • Hands-on experience with machine learning frameworks (scikit-learn, XGBoost, Light GBM)
  • Proficiency in deep learning frameworks (Tensor Flow, Py Torch)
  • Understanding of model evaluation and selection techniques
  • Proficiency in visualization tools and libraries (Matplotlib, Seaborn, Plotly, D3.js)
  • Experience with BI tools like Tableau, Power BI
  • Demonstrated ability to understand complex business problems and translate them into actionable data science projects.
  • Strong analytical and critical thinking skills, with a focus on achieving measurable business outcomes.
  • Excellent communication and presentation skills to effectively share insights and recommendations with stakeholders
  • Proactive and self-directed, with a passion for solving real-world business challenges.
  • Excellent interpersonal skills and ability to build rapport with diverse stakeholders.
  • Strong organizational and project management skills.
  • Certifications in machine learning, cloud platforms, data engineering, or business analysis (e.g., CBAP) are a plus.

Team
  • Join our newly established AI team.
  • Report directly to the Head of AI.
  • Position can be based in Luxembourg, Paris, or London.
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