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GE HealthCare
GE HealthCare
H1B vizos rėmėjasFarmacijos produktaiMedicinos technologijaSveikatos priežiūra
GE HealthCare kuria medicinos technologijas ir integruotus sprendimus tiksliajai priežiūrai. Kaip savarankiška sveikatos priežiūros technologijų įmonė, ji dirba medicininio vaizdinimo, ultragarso ir sveikatos priežiūros IT srityse, siekdama padėti gydytojams, didinti ligoninių veiklos efektyvumą ir sudaryti sąlygas taikyti tikslesnius gydymo metodus. Didelis dėmesys moksliniams tyrimams ir plėtrai skatina nuolatinę diagnostikos bei gydymo technologijų pažangą, todėl GE HealthCare yra aktuali vieta sveikatos priežiūros, medicinos technologijų ir susijusių farmacijos sričių specialistams.
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Staff Data Scientist - Krakow Hybrid

GE HealthCare is seeking a Staff Data Scientist to develop scalable AI and machine learning solutions across commercial operations, supply chain, manufacturing, and finance. The role partners with engineering, analytics, GenAI, and business teams to deliver production-ready models and actionable insights.

PLLenkija
287 200 zl – 394 900 zl / metai
HibridinisVisas etatasVadovasPrivaloma Kalba: anglųDuomenų mokslininkas
AWSAzureKerasPythonPyTorchScikit-LearnSparkSQLTensorFlow

Aprašymas

  • Design, build, and deploy AI and machine learning models for commercial operations, supply chain, manufacturing, and related business challenges
  • Lead and contribute to data science initiatives from initial concept through implementation
  • Build robust, scalable solutions that support organizational priorities
  • Partner with data engineering, ML engineering, analytics, GenAI, and business stakeholders
  • Use established practices for data preparation, feature engineering, model selection, validation, and deployment
  • Participate in code reviews and help maintain technical documentation
  • Keep current with developments in machine learning, GenAI, and analytics
  • Find ways to enhance existing models and data science processes
  • Explain complex data science concepts in terms that business partners can apply
  • Help inform decisions and deliver measurable business outcomes
  • Share expertise with colleagues and support collaborative team learning
  • Pursue opportunities to develop professionally

Reikalavimai

  • Bachelor’s, master’s, or doctoral degree in computer science, artificial intelligence, data science, applied mathematics, or a related discipline
  • Hands-on AI and machine learning experience, including a record of building and deploying enterprise solutions at scale
  • Experience using advanced analytics and machine learning to address practical challenges such as forecasting, pricing, customer analytics, sales planning, computer vision, and operational optimization
  • Knowledge of machine learning algorithms, GenAI frameworks, and data engineering
  • Proficiency with Python, AWS, Azure, and open-source technologies including R, SQL, Spark, TensorFlow, Keras, PyTorch, and scikit-learn
  • Experience deploying, monitoring, and maintaining machine learning and GenAI models in production
  • Understanding of analytics practices used in commercial operations, logistics, inventory management, manufacturing, and finance
  • Ability to explain sophisticated technical concepts clearly to non-technical stakeholders and senior executives
  • Experience succeeding in cross-functional, hybrid, and virtual team environments
  • Commitment to responsible and ethical data science
  • Availability to travel for business meetings when required

Privalumai

  • Health and wellness coverage
  • Retirement and savings plans
  • Allowances or benefits supporting role requirements, such as mobility, transportation, or applicable company-car needs
  • Work-life balance support, including flexible working and leave programs
  • Recognition and incentive programs linked to performance and company success
  • Performance bonus
  • Relocation assistance is not provided

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