As a data scientist supply chain planning and optimization you help companies make better forecasting, planning and supply chain design decisions based on quantitative analysis and models. You are a creative mind with a passion for forecasting and planning algorithms and a fascination for technology.

Your role as Data scientist planning and forecasting

In your work, you deal with the three pillars of applied analytics: data analytics, data science and storytelling. With a sharp analytical eye, you translate business challenges and opportunities into a design that you implement and embed in the customer’s organization. Designing your solutions, you never lose sight of the people that work with these and the processes that they support.

At EyeOn, you will work with the latest techniques, solutions and insights in the field of data science. As believers in a future where data is the core and most decisions are made by machines, we are constantly developing ourselves and the techniques and methods we work with. We challenge you to share this drive for continuous improvement.

We are looking for a person in our Netherlands Office (Eindhoven) as part of our Data Science Consultancy team. We typically run our projects in a hybrid mode, where European travel is occasionally required - and from one of our offices or from home. We have offices in Eindhoven, Geneva, Zürich, Dublin, Düsseldorf, and New York City.

Responsibilities

• Translating supply & inventory planning, forecasting and supply chain network design challenges into a variety of mathematical decision support models
• Raising the efficiency and quality of applied analytics projects by standardizing and improving technical methods and applications, including the technical set-up, design, and scalability of our in-house plugins
• Presenting results in a narrative and insightful way to managers and planners, using PowerBI
• Raising the expertise of EyeOn colleagues in applied analytics.

Profile candidate

• A completed university education and master’s degree in operations research, industrial engineering, econometrics, or similar
• Starter with some experience (0-3 years) in or affinity with supply chain planning and forecasting processes
• You enjoy translating complex real-life problems into mathematical models
• Experience with programming, preferably in Python (eg. Numpy, Pandas, Scipy, Scikit-learn)
• Experience with processing and analyzing data (e.g. SQL, Hadoop, Spark, Kubernetes)
• Tech-savvy: eager to learn new technologies and applications
• Knowledge of, and experience with, typical data science techniques (regression, classification, clustering, math programming, simulation, etc.)
• EU-working permit

EyeOn Data Science

In EyeOn Data Science we’re the best at helping our customers do better supply chain planning through data science. We make sure we stay the best by working together as a team, and by learning new things from each other and through our customer projects.

We’re a young team with a passion for data science, using tools such as Databricks, Python (pandas, numpy), Spark, PowerBI, Jira, Bitbucket, and more. We are creative minds with a fascination for data. We believe in digital transformation and a data-driven future.

Why work for EyeOn?

• Join a global team with experienced experts who are passionate about supply chain planning and data science
• Co-create solutions with creativity and innovation to solve tough business challenges for some of the world’s largest and most successful companies
• Work in a culture that blends the best entrepreneurial spirit with a healthy work-life balance
• Experience the freedom of deciding how you schedule your agenda, work and location in teams that operate with trust and autonomy
• Create your own personal development program with the counsel of our experienced experts and support from EyeOn
• Receive excellent employee benefits and perks, including bonus potential