Data Scientist

Data Scientist Published : Department : R&DNils Foss Allé 13400 Hillerød Country : Denmark FOSS is seeking a dedicated Data Scientist with strong expertise in chemometrics, spectral modeling, experimental design, and a solid understanding of food and food production systems. As part of our Data Science team, under FOSS R&D, you will play a key role in developing the data chain that ensures FOSS instruments are robust, reliable and can deliver analytical insights based on data science and algorithms. You will collaborate closely with specialists across multiple disciplines and take ownership of communicating and documenting your work to stakeholders within the organization. This is an opportunity to make a significant impact on FOSS’ future innovation and contribute to solutions that optimize food production – from raw materials to finished products – supporting a more sustainable use of the world’s resources. What you will do As a part of an experienced data science team at FOSS you will take responsibility for developing and validating the data chain in our New Product Development (NPD) projects. Working closely together with the measuring chain team, who are experts in spectroscopic technology, you will: Develop the data chain from raw data input to results, primarily working in MATLAB and within FOSS NPD processes. Document your findings and work, and communicate them to relevant stakeholders. Assist and review your colleagues’ work across different instrument development projects. Give technical input to early phase NPD projects and innovation. Collaborate with domain experts and customers to understand operational workflows, identify analytical opportunities, and ensure solutions align with real-world needs. The position is full time, and your daily work will be at the FOSS Innovation Center in Hillerød, Denmark. Travel activity in relation to customer visits can be expected. We are ready to welcome our new colleague as soon as possible. Professional and personal competencies You hold an MSc or a PhD degree in relevant engineering disciplines such as chemometrics, data science, food science, chemistry, or similar, and have qualifications within the following areas: In-depth experience with modelling of instrumental data including multivariate regression techniques (e.g. PLS, ANN) and multivariate exploratory methods (e.g. PCA). Skilled in MATLAB (main tool), Python or similar tools including use of toolboxes for data handling and analysis, as well as chemometrics. Knowledge of, and preferably experience with, spectroscopy or similar multivariate data generating instrumental solutions. Keen interest in the synergy between instrument and data analysis to develop algorithms and procedures for instruments, quality control tests and application development. Familiarity with best practices in chemometric modelling and experimental design. Good written documentation skills in English. As a person you are structured and collaborative when part of a cross‑disciplinary team. You’re curious about new problems and thrive on understanding and solving tasks. Your record of accomplishments shows an ability to understand complex systems and to work systematically with troubleshooting, including designing and performing experiments. You are open‑minded and want to succeed as a team and help your colleagues. Key to succeeding in development projects as a data scientist is the ability to plan, coordinate and communicate results to a diverse group of project members and stakeholders. If you recognize yourself in the above description, we look forward to hearing from you. We offer Why join FOSS? At FOSS you will be part of a collaborative environment where knowledge sharing and professional sparring are at the core of our culture in R&D. We strive to create a workplace that supports both career growth and your wellbeing. This is why we offer: The possibility to work with the leading experts in applied chemometrics and spectroscopic methods such as FT‑IR, NIR, LIBS, and additional technologies like X‑ray and flow cytometry. Great facilities: a delicious on‑site canteen, a fitness center, and spacious and light shared offices. A strong community: lots of social clubs which make it easy to connect with colleagues beyond work. The Data Science team is defined by great collaboration, strong innovative energy, and room, drive and possibility to grow professionally and personally. We challenge and support each other, and you will quickly find yourself in a complex analytical discussion by the coffee machine. You will be part of a team with nine international colleagues with intensive experience developing analytical solutions at FOSS, and who enjoy an informal and humorous tone. Please apply for the position using the link. For questions regarding the position, please contact Olivia Krenz Ranum, Head of Data Science, ( or ). FOSS is committed to maintaining an inclusive culture and a diverse workforce. You can help us sustain an unbiased recruitment process by not including photo or age in your application. About FOSS Today, more than 8 billion people around the world depend on nutritional food. Tons of food are produced in a million different ways and under varying conditions, creating challenges all the way from field to fork. One of them, obviously, is the effect it has on climate change. FOSS helps the world’s 100 biggest food companies and more than 40 000 others navigate exactly that with intelligent, data‑driven and innovative analytical solutions. We are making sustainability a better business and we’re doing so as global market leaders in our field – improving food quality, minimizing food waste, ensuring food safety, and securing fair payment. Join a pioneering and innovative company in the food and agriculture industry. A company on a mission, with offices all around the world and 1 750 talented colleagues across 34 different countries. #J-18808-Ljbffr