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Principal Data Science Analyst

Slovakia, Bratislava Employment contract 3850.00 EUR / Month · Job Posted June 27, 2026
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Job Description

We are seeking a Principal Data Science Analyst to design and implement the AI/ML strategy across Manufacturing Sciences, working in close partnership with Manufacturing Sciences domain leaders to translate strategic priorities into scalable and compliant solutions. You will design AI/ML roadmaps, drive adoption of advanced analytics, and mentor data scientists, and influence analytics direction across Manufacturing Sciences to deliver measurable operational impact. You will also shape manufacturing AI/ML strategy, lead cutting-edge projects, and directly impact global manufacturing operations in a collaborative, innovative environment.

Job Responsibility

  • Lead global AI/ML initiatives across 20+ manufacturing facilities in alignment with Manufacturing Sciences strategic priorities
  • Architect AI platforms integrating real-time manufacturing data with cloud MLOps environments
  • Drive innovation in AI/ML manufacturing optimization and autonomous process control
  • Establish standards for model governance, bias mitigation, and regulatory compliance
  • Mentor data scientists and collaborate with Manufacturing Sciences SMEs, IT, engineering and quality business functions
  • Translate emerging AI/ML trends into practical applications that support Manufacturing Sciences decision-making and operational goals

Requirements

  • Master’s or Ph.D. in Data Science, CS, Engineering, or related STEM
  • 10+ years in AI/data science roles, including demonstrated technical and people leadership
  • Advanced ML/AI expertise experience (Classical ML: KNN, SVM, Random Forest/GBMs etc.). Deep learning: CNNs/RNNs/GRU, autoencoders, Backprop/Autodiff and experience with MLOps at scale
  • Strong programming skills (Python, SQL) and familiarity with distributed computing (Spark, Kubernetes)
  • Experience in regulated environments, specifically: pharma preferred

Nice to have

  • Experience with pharma, biotech, or chemical manufacturing datasets
  • Familiarity with workflow automation/orchestration tools (Airflow, n8n) and cloud deployment (Docker, Kubernetes, Azure ML, AWS Sagemaker)

What we offer

  • Cafeteria
  • Medical - High standard medical care
  • Bridge days
  • Summer Hours
  • Multisport Card

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