HubMub
-
Randstad Digital Switzerland

Data Scientist/Machine Learning

Randstad Digital Switzerland
Switzerland · Part-time · Entry
Are you a seasoned Data Scientist / Machine Learning Engineer driven by complex data and a passion for patient health? We are looking for you to take the lead in designing and validating predictive algorithms using cutting-edge techniques and time series data from medical devices, directly impacting diabetes care!

General Information

  • Start date: 1.2.26
  • latest Start Date: 1.4.26
  • Planned duration: 1.2.27
  • Extension (in case of limitation): possible
  • Workload: 100%
  • Home Office: mostly onsite
  • Working hours: Standard

Tasks & Responsibilities

  • Algorithm Design & Prototyping: Design, develop, and validate predictive and analytical algorithms for CGM data. Develop robust code using advanced ML and statistical techniques to prove technical feasibility.
  • Feasibility & Ideation: Understand patient needs and creatively model potential algorithmic approaches using real-world sensor data.
  • Data Pipeline & Feature Engineering: Apply expertise in processing and managing heterogeneous time series data originating from medical devices. Execute rigorous data cleaning, imputation, transformation, and sophisticated feature engineering.
  • Technical Execution & Modeling: Build and optimize machine learning models (e.g., XGBoost, Neural Networks, etc.). Write high-quality, efficient, and reproducible Python code for data analysis, modeling, and experimentation.
  • Collaboration: Provide technical guidance within an Agile team framework to junior data science colleagues. Work effectively within a multidisciplinary, distributed team to translate project goals into actionable data science tasks.
  • Communication & Reporting: Synthesize complex technical results and present clear feasibility findings to diverse stakeholders.

Must Haves

  • Minimum of 5+ years of hands-on experience as a Data Scientist or Machine Learning Engineer.
  • Demonstrated experience or robust academic background (Master or PhD is highly desirable) in Data Science, Machine Learning, Statistics, or a related quantitative field.
  • Strong Statistical Foundation: Solid grasp of statistical principles, experimental design, and model validation techniques.
  • Advanced Python Proficiency: Strong proficiency in Python and its core data science ecosystem: Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, and XGBoost/LightGBM.
  • Time Series Data: Practical experience with the processing, analysis, and modeling of time series data from physical sensors or monitoring devices.

We thank you for your application!

Key Skills

Ranked by relevance

machine learning python neural networks data analysis prototyping pandas numpy
Login to Apply
🇨🇭

Country Guide

Switzerland

Very high salaries and premium quality of life

Posted
Dec 04, 2025
Type
Part-time
Level
Entry
Location
Basel
Company
Randstad Digital Switzerland

Industries

IT Services IT Consulting

Categories

Information Technology

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
ETE Technology AS
Related

Machine Learning Engineer

2026-06-19

Full-time
Entry
Turkey
IT Services
Engineering
View Job Details
Mindrift
Related

Data Scientist (Python & SQL) - Freelance AI Trainer

2026-06-19

Part-time
Not Applicable
Romania
IT Services
Other
View Job Details
immunIT
Related

Penetration Tester

2026-06-19

Full-time
Not Applicable
Switzerland
Computer
Information Technology