Job Opportunities in Sweden

Assignment Description

• You will drive development and continuous improvement that enables our business to connect to thousands of equipment in a secure, scalable and flexible way, with a focus on data analysis.
• You will design, develop, test, deploy, maintain, and optimize algorithms using both conventional methods and as well as Machine Learning/AI tools, leveraging Tetra Pak equipment knowledge for predictive maintenance, condition monitoring and machine health monitoring.
• You will design, write, test and assist in implementing highly scalable and robust software to fit a variety of Food & beverage industrial equipment such as Homogenizers, Pasteurizers, Heat exchangers, Mixers, Freezers.
• You will collaborate closely with our global back-end teams, front-end developers and business owners to ensure system consistency, improve user experience and data-to-insight reliability.
• You will explore different ways of integrating the solution into the ecosystem.
• You will use your digital skillset to identify patterns and anomalies in equipment data, converting these insights into meaningful metrics for senior management, operators, service engineers and developers alike.

• A Bachelor’s degree, MSc or Ph D in Data Science, Computer Science, Data Analytics, Information Technology or related field.
• Proficiency in programming languages such as Python, R, Scala, and tools such as Jira, Dev Ops, Git, or similar software and cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
• Work experience within the data analysis field with demonstrated achievements.
• A strong technical foundation with the ability to bridge the gap between data and insights, effectively “making sense of data” for a large group of end-users.
• Extensive experience with data: cleaning, aggregation and visualization.
• Demonstrated expertise with signal processing, including techniques for analyzing, filtering and interpreting.
• Experience with applying Machine Learning and AI on top of this is a strong plus.
• Previous experience in an Agile working environment is highly valued.
• The ability to work effectively in a global team setting, as well as independently, with a focused drive and commitment.
• An interest in hardware, mechanical systems and how it relates to the above will be meritious.

• You are a natural team player with the ability to work in a multi-organizational environment.
• You are excited by complex problems, love to learn and have a hands-on mentality. You are a self-motivated person with strong result orientation.
• You understand the link between technical activities and business implications.
• Good communication skills are needed and as the work is conducted in an international environment being comfortable in the English language, written as well as spoken, is required.