Zühlke Industry · Engineering

Senior Data Scientist

CHF 130'000 – 150'000 / year
SCHLIEREN
MACHINE LEARNINGCOMPUTER VISIONLARGE LANGUAGE MODELMLOPSPYTORCHSCIKIT-LEARN

Description

Zühlke is seeking a Senior Data Scientist to develop Machine Learning solutions for various industries. The role involves addressing problems in fields like patient health and environmental standards through AI applications.

Responsibilities

  • Take responsibility and technical leadership in customer projects.
  • Inspire customers with thought leadership in data science.
  • Lead the development of machine learning solutions: data preparation, modelling, method selection, evaluation, implementation.
  • Evaluate the technical and economic feasibility of machine learning solutions.
  • Operationalize successful prototypes in collaboration with data platform architects and data engineers.
  • Bring machine learning expertise to the Zühlke team and support juniors.
  • Contribute to the development of the AI & Data Practice and support the acquisition of customer projects.
  • Represent Zühlke AI & Data through technical presentations.

Qualifications

  • Master’s degree (ETH, Uni) in computer science or a comparable education (e.g. mathematics). A PhD in a machine learning related field is a plus
  • At least four years of professional/research experience in the field of machine learning after graduation
  • Experience implementing machine learning solutions in industry. Experience in the professional services business is an advantage
  • Solid and broad knowledge in machine learning, in-depth knowledge in an application domain (e.g. large language models, computer vision) and good knowledge in statistics
  • Proficient in the Python machine learning stack (NumPy, pandas, scikit-learn, PyTorch), have experience in software development and are familiar with the concepts of database systems (relational/NoSQL)
  • Familiar with one of the major cloud providers (Azure/AWS/GCP) and understand the concepts of training and operationalizing machine learning solutions (e.g. MLOps, containerization, experiment tracking, data versioning)
  • Open and communicative personality, comfortable in interdisciplinary teams and can work in a customer-oriented way.
  • German language skills are required. Very good English skills complete your profile

Benefits

  • Work life blend: flexible working hours and the possibility to work from home
  • Profit share scheme: In addition to your annual salary, you may receive a profit share defined by the company’s success in the previous year
  • Global and Diverse Zühlke community: witness how colleagues from all our 16 offices across the globe come together to create a unique, positive and inclusive work culture, learning from one another at annual team camps, and celebrating year-end parties and other local festivities.
  • Committed to development: we are committed to the growth of our people and are investing in your development.