Data Scientist

Company Description

TOMRA Food is a multinational organization and a leading provider of sensor-based sorting, peeling and integrated post-harvest solution for the food industries. Transforming global food production to maximize food safety and minimize food loss by making sure Every Resource Counts™, has been our strength for over 50 years.

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.

Join the resource revolution !

Job Description

Join TOMRA Food as a Data Scientist specialising in deep learning and computer vision. In this role, you will help lead the business on a journey in deep learning and data science. You will drive innovation by developing, testing, and implementing cutting-edge deep learning and computer vision algorithms. Your primary focus will be enhancing real-time food sorting performance through advanced algorithms while also developing predictive models for machine reliability, predictive maintenance, and anomaly detection.

Key Responsibilities:

• Develop, test and implement deep learning and computer vision algorithms for real-time food sorting performance.
• Build predictive models and algorithms for machine reliability, predictive maintenance and anomaly detection.
• Analyse and explore large and complex data sets using data analytics techniques and statistical modelling.
• Collaborate closely with cross-functional teams to understand business objectives and develop data-driven solutions.
• Utilise and optimise real-time data processing and data visualisation tools.
• Communicate findings and insights to both technical and non-technical stakeholders in a clear and concise manner.
• Implement MLOps to help build, test and deploy machine learning models effectively.          

Qualifications

About You:

• Master's or PhD in Computer Science, Engineering or Mathematics.
• Proven proficiency with machine-learning tools, application programming languages, and frameworks (Python, SQL)
• Strong experience with deep learning, computer vision and data analytics techniques.
• Ability to extract meaningful business insights from data and identify the stories behind the patterns.
• Experience with code revision control like GIT.
• Experience with MLOps tools, such as Azure ML or ClearML.
• Passion for prototyping new products and solutions with potential industry-transforming capabilities.
• Stay updated on emerging AI developments and their potential impact the food sorting industry
• Strong communication skills, self-motivated, creative and collaborative.

If you are passionate about using deep learning and computer vision techniques to drive innovation and have a track record of delivering results, we would love to hear from you. Join our team at TOMRA Food, become a resource revolutionary, and help us to continue delivering industry-leading products and services. 

Additional Information

Why work for us: 

• Birthday leave - have a day off on us!
• Onsite car parking
• We love innovation, so we offer a collaborative environment where idea sharing and thinking outside the box is encouraged
• You may also know us as the award-winning kiwi success story we strive for greatness and that is reflected from our history and into our future as TOMRA
• Global career opportunities with a strong record for promoting internally
• Professional training and development: We are passionate about people and seeing them succeed. 
• We care for the planet and want to make a difference for the future
• Kiwisaver employer contribution paid on top of base salary 

How to Apply:

If this sounds like you, we would love to hear from you! All applications will be managed in the strictest confidence.  

TOMRA is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristics. Reasonable accommodations will be made and will be provided as requested by candidates taking part in all aspects of the selection process.