Senior Data Scientist
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Virum
Make your talent count at nne
We are experts in end-to-end pharma engineering and our success is built on our relationships, both with our colleagues and our customers. If you want to work on projects shaping the future of sustainable and intelligent pharma facilities, nne is the place to be.
Work with us
Does enabling data connectivity between disparate data sources and data analysis on complex datasets to enable predictive maintenance, process optimization and process insights, and anomaly detection using statistical and mathematical models sound interesting – then it is precisely you and your competencies we seek at nne.
Our team of multidisciplinary data scientists and data engineers are working within fields as design, development, and implementation of data platforms for data connectivity, visualization and advanced analysis of manufacturing data using tools such as SAS JMP or Python, and establishment of front-end systems for the end-user to interact with. In the role as senior data scientist, you will become a part of the project teams and support defining best practices for data analysis.
Every day you will work in an ever-changing, project-driven environment side by side with some of the most skilled and enthusiastic experts in the world… Your colleagues. You will become a part of an innovative and exciting environment in Manufacturing Intelligence with more than 30 committed colleagues.
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As a Senior Data Scientist, you'll be:
At nne, we care about who you are as a person. Ultimately, how you work and your energy is what impacts the work we do as a team. As a person, you are:
To apply for the position there are some things that are needed, and others a bonus. We believe these qualifications are needed for you to do well in this role:
Together we shape the future of pharma engineering Think of how it would be going to work every day to help pharma manufacturers establish efficient, sustainable and intelligent facilities that are essential for drug production worldwide. This is nne. We are born and raised within pharma, which makes us more than a consultant engineering company. And if you share our values of innovating, taking initiative, and believing in teamwork, we invite you to join the passion!
Sounds like something you’d love to do? If you’re ready to unleash your potential, let’s have a talk.
Deadline of application is 13 March 2022.
Questions before applying? Please contact Manager Torben Bygvraa Rasmussen on +45 3075 3997
We will invite to interviews on a running basis. Please note we only accept applications submitted by our online recruitment system.
To learn more about us visit www.nne.com
We are experts in end-to-end pharma engineering and our success is built on our relationships, both with our colleagues and our customers. If you want to work on projects shaping the future of sustainable and intelligent pharma facilities, nne is the place to be.
Work with us
Does enabling data connectivity between disparate data sources and data analysis on complex datasets to enable predictive maintenance, process optimization and process insights, and anomaly detection using statistical and mathematical models sound interesting – then it is precisely you and your competencies we seek at nne.
Our team of multidisciplinary data scientists and data engineers are working within fields as design, development, and implementation of data platforms for data connectivity, visualization and advanced analysis of manufacturing data using tools such as SAS JMP or Python, and establishment of front-end systems for the end-user to interact with. In the role as senior data scientist, you will become a part of the project teams and support defining best practices for data analysis.
Every day you will work in an ever-changing, project-driven environment side by side with some of the most skilled and enthusiastic experts in the world… Your colleagues. You will become a part of an innovative and exciting environment in Manufacturing Intelligence with more than 30 committed colleagues.
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How you might spend your days
As a Senior Data Scientist, you'll be:
- Assisting our customers in data analysis of manufacturing data, building predictive and descriptive models
- Setting up experimental plans for e.g., design of experiments (DoE) or measurement system analysis (MSA), assisting in execution, and analyzing the results
- Inspiring and challenging our customers to do more with their data – leveraging the possibilities within data engineering, data connectivity, and advanced data science such AI/ML
- Building best practices within GxP data analysis to meet the demands of health authorities and our customers
- Working with a team of 30 skilled data engineers and data scientists based between our offices in Virum and Kalundborg
- Based in Virum, but travelling to our customers on a regular basis
Who you are
At nne, we care about who you are as a person. Ultimately, how you work and your energy is what impacts the work we do as a team. As a person, you are:
- Outgoing and ready to engage with multiple project teams both internally and externally
- Understanding of your colleagues’ individual and cultural differences
- A good listener and able to convert customer needs into actions
- Capable of conveying advanced statistical analysis and results in an understandable manor even for non-statisticians
- Agile and able to prioritize urgent tasks, while providing rapid but sound conclusions to complicated analysis
The miles you’ve walked
To apply for the position there are some things that are needed, and others a bonus. We believe these qualifications are needed for you to do well in this role:
- You have a M.Sc. degree in e.g., engineering within data science, statistics, or pharmaceutical production
- You have a solid understanding of applied statistics and mathematical modelling – ideally using software packages such as SAS JMP
- You have minimum 3 years of experience in the life science/biotech industry
- You speak and write Danish and English fluently
Together we shape the future of pharma engineering Think of how it would be going to work every day to help pharma manufacturers establish efficient, sustainable and intelligent facilities that are essential for drug production worldwide. This is nne. We are born and raised within pharma, which makes us more than a consultant engineering company. And if you share our values of innovating, taking initiative, and believing in teamwork, we invite you to join the passion!
Sounds like something you’d love to do? If you’re ready to unleash your potential, let’s have a talk.
Deadline of application is 13 March 2022.
Questions before applying? Please contact Manager Torben Bygvraa Rasmussen on +45 3075 3997
We will invite to interviews on a running basis. Please note we only accept applications submitted by our online recruitment system.
To learn more about us visit www.nne.com
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Virum.
Jobbet er oprettet på vores service den 16.2.2022, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Data Manager
- Virum
- Søndag den 13. marts 2022
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Statistik over udbudte jobs som data managere i Virum
Herunder ser du udviklingen i udbudte data manager i Virum over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal data managere.
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Statistik over udbudte data managere i Virum over tid
| Dato | Alle jobs som data managere |
|---|---|
| 23. november 2024 | 1 |
| 22. november 2024 | 1 |
| 21. november 2024 | 1 |
| 20. november 2024 | 1 |
| 19. november 2024 | 1 |
| 18. november 2024 | 1 |
| 17. november 2024 | 1 |
| 16. november 2024 | 1 |
| 15. november 2024 | 1 |
| 14. november 2024 | 1 |
| 13. november 2024 | 1 |
| 12. november 2024 | 1 |
| 11. november 2024 | 1 |
| 10. november 2024 | 1 |
| 9. november 2024 | 1 |
| 8. november 2024 | 1 |
| 7. november 2024 | 1 |
| 6. november 2024 | 1 |