Senior 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.

At TOMRA Food we are committed to our brand and as we continue to invest globally, we are looking for a passionate and driven Senior Data Scientist to join our team. Your work will be purposeful, and you will enhance real-time food grading performance by developing deep learning and computer vision algorithms.

With strong deep learning experience, you will play an expert role in data science and deep learning and help lead the business on a journey in this space. You will be curious by nature and comfortable communicating across multiple business functions, geographical regions and teams. You will enjoy sharing knowledge and mentor the other Data Scientist in a small but agile Technology team. This is an awesome opportunity to come in with exciting ideas and have the platform to make an impact.

Here's a sneak peek into some of what you will be doing:
**Roles and responsibilities**:

- Develop, test and implement deep learning and computer vision algorithms for real-time food sorting performance, as well as 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 with cross-functional teams to understand business objectives and develop data-driven solutions to meet those objectives.
- Utilize and optimize real-time data processing and data visualization tools.
- Communicate your findings and insights to both technical and non-technical stakeholders in a clear and concise manner.
- Experience with MLOps to help build, test and deploy machine learning models

**Qualifications**
About you:

- Master or PhD in Data Science, Computer Science, Engineering or Mathematics
- 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 (GIT)
- Passion for prototyping new products and solutions that have the capability to transform the 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
- Hybrid working we support working from home for two days per week
- 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

At TOMRA we proudly recognise cultural diversity, inclusiveness of thought and individuals to create a great working environment for our employees. So, even if you don’t think you tick all the boxes and the requirements, but you have what it takes, we would still like to hear from you.