Data Scientist - Digitalization

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Hillerød

Novo Nordisk is improving the lives of people living with chronic diseases through innovative digital solutions. Digital technologies are transforming every aspect of our business, from the way we do research and develop new medicines to how we produce and make treatments available to patients. Would you like the chance to be a part of this journey? Are you looking for a data science job where you can work alongside experienced and dedicated colleagues from many different professions and nationalities? Then apply for this position. The Position We are seeking a data scientist to join our Digitalization team at Novo Nordisk IFP Hillerød. As our team embarks on a journey to apply AI and data science across various parts of the organization, you will play a key role in identifying potential use cases, scoping projects, and executing them in collaboration with the team. The position requires a balance between technical skills and interpersonal communication. In addition to modelling and analytical work, you will need to engage with stakeholders from various parts of the organization to identify potential AI and data science use cases. You should thus be comfortable with presenting your ideas to these stakeholders and explaining the benefits of applying AI and data science to their area of business. This will involve effective communication skills, the ability to listen to business needs, and the capacity to translate technical concepts into non-technical language. The ideal candidate has general knowledge and a natural curiosity within the different data science domains and an ability to imagine how these technologies might be applied. Your main priority in this position is developing and implementing data-driven solutions to better understand and improve our warehouse processes. You will work closely with the warehouse team to understand their needs and develop insights that will drive process improvements. The warehousing area is highly automated with many conveyors, cranes, self-driving vehicles, and other robots moving goods around. You get to build a model and hypothesis and observe it unfold on the physical equipment immediately after. Furthermore, IFP Hillerød warehousing is executing an extensive and complex portfolio of projects over the coming years, expanding our existing production capabilities while running 24/7 production. Your work will aid in mapping, understanding, and improving transportation flows, as well as finding patterns in error/alarm messages from various pieces of equipment. Understanding this complex expansion through both data (you) and mechanical knowhow (good colleagues) will be key to succeeding. The second part is focused on the rest of the organization/value chain. Create value through data across the whole value chain. Drive the data science agenda at the site and mature data science as a key part of the digitalization of the site. Responsibilities:
  • Accessing, cleaning, and transforming data.
  • Understand, describe, and convey information about processes through data.
  • Sort through, evaluate validity of data. Relating measurements/data to physical movements.
  • Design and implement data models and algorithms to support data-driven decision making.
  • Discover and define new business cases for use of the data.
  • Develop dashboards and visualizations to communicate insights and facilitate decision making.
    • Your daily working place will be on our site in Hillerød. Qualifications Requirements:
  • Experience with deploying solutions to production; Git/version control, CI/CD pipelines.
  • Degree in data science, computer science, statistics, or a related field.
  • At least 3 years of experience working as a data scientist/analyst.
  • Strong programming skills in Python and/or R and data visualization tools like Tableau or Power BI.
  • Experience with machine learning techniques and algorithms within deep learning and time series analysis.
  • Strong problem-solving and analytical skills.
    • About the department Our factory ‘Injectable Finished Products (IFP)’ in Hillerød, also called ‘Factory of the future’, is an ambitious and business-critical area in the entire IFP production network, with approx. 1400 employees. Digitalization works in all areas and departments with many different stakeholders. In the Digitalization team we are 13 people across multiple domains. Working at Novo Nordisk Novo Nordisk is its people. We know that life is anything but linear and balancing what is important at different stages of our career is never easy. That’s why we make room for diverse life situations, always putting people first. We value our employees for the unique skills they bring to the table, and we work continuously to bring out the best in them. Working at Novo Nordisk is working toward something bigger than ourselves, and it’s a collective effort. Novo Nordisk relies on the joint potential and collaboration of its more than 40,000 employees. Together, we go further. Together, we’re life changing. Contact For further information please contact Kenneth Dam Røn Jensen, [email protected]. Deadline 15th of January 2024 To apply, please submit your CV and a cover letter highlighting your experience and qualifications for this role. To ensure an efficient and fair recruitment process, please refrain from adding a photo in your CV. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.


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    Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".

    Arbejdsstedet er beliggende i Hillerød.

    Jobbet er oprettet på vores service den 22.12.2023, men kan have været deaktiveret og genaktiveret igen.

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