If you are looking for a meaningful job where people work and act with passion, rethink the existing and always strive to find the best solution - you have come to the right place. We develop future technologies to conquer supply chain complexity, together.

Overview

Körber Supply Chain is a global provider of a unique blend of supply chain management software solutions. As a high-growth international corporation, Körber Supply Chain serves the evolving and increasingly complex requirements of supply chain operations of all sizes. Through a culture of innovation, Körber Supply Chain strikes the perfect balance amongst client satisfaction, employee fulfillment, and shareholder value through our accelerated services. Joining the Körber Supply Chain team means joining a network of diverse individuals all committed to helping our clients achieve improved productivity and customer satisfaction.

Körber is the home for passionate people who innovate, collaborate and love what they do. Rule breakers, number crunchers or tech-pioneers: No matter which profession you contribute, we are looking for people who work and act with passion, rethink the existing and who always strive to find the best solution for our challenges. We develop future technologies and support talent to deploy their skills and reach their full potential. We aim for being the first to do the right thing at the right time.

The role is part of a strategic AI initiative that aims to accelerate the development of innovative products and features utilizing Artificial Intelligence, Operations Research and Advanced Analytics.

Working within the new innovation team, the Data Scienctist will research, prototype, develop and implement data science/machine learning algorithms to solve modern day supply chain problems.

Responsibilities

• Use data science techniques to solve the problems of internal and external customers with a focus on Forecasting and/or Optimization
• Investigate and innovate with data science techniques to drive new opportunities for Körber Supply Chain products
• Research, prototype, develop and implement data science/machine learning algorithms to discover trends and patterns to help solve supply chain problems.
• Liaise with the software development team to integrate models into products.
• You collaborate with other data scientists and developers in the team.
• You interpret and visualize your work results and present your findings in a customer friendly manner.

Experience And Qualifications

• Strong background in Forecasting (ML/Time series) AND/OR Optimization
• Proven experience (atleast 2-3 years) applying forecasting and/or optimization to solve business problems.
• Experience applying data science / machine learning / AI to solve business problems
• A degree in Computer Science, Natural Sciences, Mathematics, Engineering, or a related quantitative field.
• Good knowledge of Python and experience developing productive software components with it.
• Experience with machine learning and data processing tools.
• Willingness to be involved in the development and operation of software beyond pure Data Science.
• Strong organizational, problem solving, planning and time management skills.

Desired Qualifications

• Experience with TensorFlow, scikit-learn, Pandas and visualization libraries
• Proficiency in software development processes, such as code review, version control, and testing.
• Agile experience (Scrum/Kanban)
• Knowledge about SVN or Git and branching methodologies
• Experience with cloud services for Machine Learning, e. g. Azure and MLOps is beneficial.

Help enable those who move goods to do good by contributing your skills and individual viewpoints in a highly collaborative, caring team environment.

Körber Supply Chain Software better enables those who move goods to do good when we prioritize diversity, equity, and inclusion. It’s better for our people, better for our business, and better for the world. That’s why at Körber we cultivate and celebrate our colleagues’ experiences and perspectives, whether they look, think, move, believe, or love differently than us. We are committed to fostering a diverse and inclusive work environment and pride ourselves on being an equal opportunity employer. We encourage people from diverse backgrounds to apply and all qualified applicants will receive equal consideration for employment without regard to gender and identity, age, race, religion, ethnicity, ancestry, sexual orientation or expression, disability, or veteran status.