Data Scientist (Senior) *

at  TOMRA

Company Description
Today, we are not utilizing resources in a sustainable way. In fact, the world is only 9% circular, meaning much of the Earth’s precious resources are only used once, leaving huge untapped potential for more sustainable resource management. TOMRA provides cutting-edge solutions for optimal resource productivity within the recycling, mining and food industries and is therefore uniquely positioned to shape the Circular Economy, creating demand for this way of thinking in the world. At TOMRA we want to be a thought leader, encouraging a more sustainable way of thinking and inspiring active change around the world.
TOMRA Recycling is a global leader in the field of automated sensor-based waste sorting, also being a pioneer in its field - currently TOMRA Recycling has an installed base of close to 6,460 units across more than 40 markets.
With our deep application knowledge, powerful machine learning software and a variety of in-house developed sensors we offer our customers state-of-the-art, high-performance sorting solutions for maximum purity and yield.
At TOMRA, we want people to innovate, show passion in their work and be responsible. We encourage the freedom to innovate and take risks that result in breakthroughs that challenge the status quo. We value passion that focuses and commits to meeting success. We believe in a responsible and safe mindset that takes care of our customers, products, and fellow employees.
Job Description
TOMRA Sorting Solutions serves the world’s most important recyclers with sorting solutions and services, and is expanding rapidly on a global scale. As part of our growth, we are actively driving the transition towards digitally enhanced customer solutions to achieve new levels of efficiency, quality and transparency.
Recycling plants are complex processes with a low level of digitalization and therefore a big optimization potential deploying state-of-the-art data driven technologies exists. As a Data Scientist will play a crucial role in advancing TOMRA Recycling’s sensor-based sorting technology. This role involves analyzing vast amounts of data to enhance sorting algorithms, improve system efficiency, and support the development of innovative solutions for recycling and material recovery. The ideal candidate will have a strong background in data analysis, machine learning, and a passion for sustainability and environmental impact reduction.

QUALIFICATIONS

• Master’s degree in Data Science, Computer Science, Engineering, or a related field.
• Proven experience (+3 years) in data analysis, machine learning, and statistical modeling.
• Proficiency in programming languages such as Python, R, or similar.
• Familiarity with big data technologies and tools (e.g., Hadoop, Spark).
• Strong analytical, problem-solving, and communication skills.
• Passion for sustainability and environmental conservation.
  Additional Information

Please refer the Job description for details