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GE HealthCare
GE HealthCare
H1B vīzas sponsorsFarmaceitiskie produktiMedicīnas tehnoloģijaVeselības aprūpe
GE HealthCare izstrādā medicīnas tehnoloģijas un integrētus risinājumus precīzai aprūpei. Kā neatkarīgs veselības aprūpes tehnoloģiju uzņēmums tas darbojas medicīniskās attēlveidošanas, ultraskaņas un veselības aprūpes IT jomā, lai atbalstītu klīnicistus, uzlabotu slimnīcu efektivitāti un nodrošinātu precīzākas terapijas. Ievērojamais ieguldījums pētniecībā un izstrādē veicina nepārtrauktu diagnostikas un ārstēšanas tehnoloģiju attīstību, padarot GE HealthCare par saistošu galamērķi veselības aprūpes, medicīnas tehnoloģiju un saistīto farmācijas jomu profesionāļiem.
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Vakances uzņēmumā

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.

PLPolija
287 200 zł – 394 900 zł / gads
HibrīdiPilna slodzeVadošais speciālistsNepieciešamā Valoda: angļuDatu zinātnieks
AWSAzureKerasPythonPyTorchScikit-LearnSparkSQLTensorFlow

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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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