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Zühlke Engineering AG
16d ago

Senior Data Scientist(m/w/x)

Schlieren
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Description

As a Senior Data Scientist, you will lead diverse customer projects, guiding the development of machine learning solutions while inspiring clients with your expertise. Your role involves evaluating feasibility, operationalizing prototypes, and mentoring junior team members.

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Requirements

  • •Master’s degree in computer science or comparable education
  • •At least four years of professional/research experience in Machine Learning
  • •Experience implementing machine learning solutions in industry
  • •Solid and broad knowledge in machine learning
  • •Proficiency in Python machine learning stack (NumPy, pandas, scikit-learn, PyTorch)
  • •Familiarity with major cloud providers (Azure/AWS/GCP)
  • •Open and communicative personality
  • •German language skills required; very good English skills

Education

Master's degree
OR
Doctoral / PhD

Work Experience

4 years

Tasks

  • •Take responsibility and provide technical leadership in customer projects
  • •Define methodological approaches and develop use cases with customers
  • •Advise customers on technical topics and present results
  • •Lead the development of machine learning solutions
  • •Prepare data and select appropriate methods for modeling
  • •Evaluate and implement machine learning solutions
  • •Assess the technical and economic feasibility of solutions
  • •Operationalize successful prototypes with data platform architects and engineers
  • •Support junior team members in their development
  • •Contribute to the growth of the AI & Data Practice
  • •Assist in acquiring new customer projects
  • •Represent Zühlke AI & Data at national conferences through technical presentations

Tools & Technologies

NumPypandasscikit-learnPyTorchAzureAWSGCP

Languages

German – Native

English – Business Fluent

Benefits

Bonuses & Incentives

  • •Profit share scheme

Flexible Working

  • •Flexible working hours
  • •Work from home

Informal Culture

  • •Global and diverse community

Learning & Development

  • •Commitment to development
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