Working Student (m/f/d) Data Science

Olympus Europa SE & Co. KG

  • Hamburg
  • Post Date: 24. September 2024
Job Description

At Olympus, we are committed to our purpose of making people's lives healthier, safer and more fulfilling. As a global medical technology company, we partner with healthcare professionals to provide best-in-class solutions and services for early detection, diagnosis and minimally invasive treatment, aiming to improve patient outcomes by elevating the standard of care in targeted disease states.

For more than 100 years, Olympus has pursued a goal of contributing to society by producing products designed with the purpose of delivering optimal outcomes for its customers around the world.

Olympus Europa, headquartered in Hamburg, Germany, serves the EMEA (Europe, Middle East, Africa) region and employs 6,900 people in 31 countries. For more information, visit our website.


  • As a Working Student (m/f/d) you assist in data collection, cleaning and preprocessing tasks
  • You support statistical analysis and hypothesis testing
  • You also collaborate on developing and evaluating machine learning models
  • Helping to create informative data visualizations using Power BI is part of your tasks
  • You contribute to documentation of data science projects
  • You stay up-to-date with advancements in data science and contribute to research efforts
  • You provide general support to the data science team, such as organizing files and scheduling meetings

  • You are an enrolled student (m/f/d) in a relevant degree program (e.g., Computer Science, Statistics, Data Science) at an accredited university
  • You possess proficiency in Python and SQL for data manipulation and analysis, as well as familiarity with data science libraries and frameworks (e.g., pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch)
  • You have experience with Microsoft Azure for cloud computing and data storage
  • Experience with cloud platforms (e.g., Azure, GCP, AWS) and distributed computing frameworks (e.g., PySpark) is a plus
  • Familiarity with data visualization tools(e.g., Power BI, matplotlib) is advantageous
  • You have a good understanding of statistical analysis and machine learning algorithms (e.g., XGBoost, LightGBM)
  • You have sharp analytical and problem-solving skills, with a passion for data-driven insights
  • You have strong communication skills, both written and verbal, with the ability to collaborate effectively in a team environment
  • You also provide excellent organizational and time management skills to balance work and academic responsibilities

  • 17 Euro per hour
  • Proportionate vacation entitlement
  • Interesting and diverse tasks in an international working environment
  • Excellent mentoring structure with regular feedback
  • Up to 60% remote work is possible
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