Senior Data Scientist

GE HealthCare

Poland
Base: 234 400,00pln-322 300,00pln; bonus/equity: d...
Hybrid
Machine learning, deep learning, ai, semantic analysis
Applied analytics, predictive and prescriptive analytics
Exploratory and targeted data analyses
GE HealthCare is seeking a Senior Data Scientist in Poland to work on data-driven projects involving machine learning, AI, and statistical analysis in a hybrid environment. The role emphasizes collaboration across technical teams and the application of advanced analytics to address customer needs in healthcare technology

Job Summary

  • The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment.
  • As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets.
  • Our total rewards are designed to fuel your ambition by providing the flexibility and support you need to turn your ideas into impactful realities.

Matching Summary

Match Score: 85

GE HealthCare is seeking a Senior Data Scientist in Poland to work on data-driven projects involving machine learning, AI, and statistical analysis in a hybrid environment. The role emphasizes collaboration across technical teams and the application of advanced analytics to address customer needs in healthcare technology.

Salary

Base: 234 400,00PLN-322 300,00PLN; Bonus/Equity: Details to be shared during offer discussions; Benefits: Comprehensive package of benefits and allowances

Skills & Requirements

Must-have

  • machine learning, deep learning, AI, semantic analysis
  • applied analytics, predictive and prescriptive analytics
  • exploratory and targeted data analyses
  • data quality assessment and cleansing
  • data visualization and storytelling

Nice-to-have

  • collaboration skills
  • critical thinking and problem solving
  • presentation and influencing skills
  • understanding of industry and technology trends

Key Requirements

  • Master’s degree in applied mathematics, computer science or data science
  • Demonstrated skill in analytic software tools or languages (e.g., Python, Keras/Tensorflow, PyTorch, LLM frameworks)
  • Familiar with Agile techniques
  • Demonstrated skill at data cleansing, data quality assessment
  • Demonstrated skill in applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
  • Demonstrated awareness of data management methods
  • Demonstrated awareness of real time analytics development and deployment

Work Rights

Not specified

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