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Mover is a Danish high-tech company created with an ambition to disrupt the logistics industry. Our purpose is to create smarter logistics, reduce waste, and make people’s lives easier. The company was founded in 2016 and has quickly grown from start-up to a profitable smart logistics company that partners with some of the world's largest companies. This is your opportunity to be part of a fun and dynamic environment that’s driving real change in an industry that's crucial for the global economy and has a significant environmental impact.
The Position
Our team of analysts and data scientists create AI models to unluck the potential of the large amounts of data collected on our platform into business insights and automations. We are still a young and small team, so you will get the chance to have a significant impact on how data is used to create smarter logistics and reduce waste.
Your responsibilities and assignments will include:
- Define, develop, and implement KPIs and data analysis reporting.
- Build data models and algorithms to analyze and enhance logistics performance.
- Develop machine learning models to provide predictive and actionable insights.
- Build automations (RPA).
- Interact with various stakeholders to understand their business needs and translate them into analytical projects and deliverables.
- Collaborate with engineering teams to bring analytical prototypes to production and monitor outcome.
- Present and communicate insights and findings effectively to both technical and non-technical audiences.
What you need to make a difference
We are seeking highly talented individuals who are eager to dive into problems head-first, and curiously seek to build solutions that are both innovative and pragmatic, to ensure we stay ahead of the technology curve.
Data science at Mover is not just about crunching numbers or writing code. It's about understanding our business and working collaboratively to drive it forward. It's about leveraging your unique blend of skills and perspectives to uncover new insights and, ultimately, help us create smarter logistics and reduce waste.
The ideal candidate has:
- A master’s degree within a relevant field of study (Applied Mathematics, Statistics, Computer Science, Physics, or similar).
- Proven experience as a Data Scientist or similar role.
- Strong problem-solving skills with an emphasis on product development.
- A highly analytical mindset and good business understanding, with the ability to communicate complex findings to non-technical recipients.
- Deep understanding of predictive modeling and machine learning, including supervised and unsupervised learning.
- Experience with data visualization and reporting tools, like PowerBI, Tableau, or similar.
- Fluency in data processing and modelling (R, Python, SQL, etc.).
What we offer
We offer a full-time position in a professionally challenging and entrepreneurial environment, with lots of opportunities to make your own mark on the position. You will be involved in analyses that have a direct impact on important business decisions.
The company's digital DNA also makes it an excellent place to test, improve and develop your theoretical understanding of econometrics and machine learning in business-critical areas where the results can help to reduce waste in logistics – and thereby society in general.
In our analytics department you will work closely with other data scientists and process engineer, and you will get to collaborate with other specialists within software development and logistics.
Additionally, we offer:
- An innovative environment with high energy and plenty of social activities.
- Modern office facilities at Islands Brygge in the heart of Copenhagen.
- Free and delicious lunch in our .506 cantina.
Application
We hope to have caught your attention and we look forward to reading your application and resume! If you have any questions, please feel free to reach out to Data Scientist Giulio Olivero ([email protected]).
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i København
Jobbet er oprettet på vores service den 23.6.2023, men kan have været deaktiveret og genaktiveret igen.
- Data Manager
- København
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Statistik over udbudte jobs som data managere i København
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Statistik over udbudte data managere i København over tid
| Dato | Alle jobs som data managere |
|---|---|
| 22. november 2024 | 61 |
| 21. november 2024 | 60 |
| 20. november 2024 | 59 |
| 19. november 2024 | 57 |
| 18. november 2024 | 56 |
| 17. november 2024 | 56 |
| 16. november 2024 | 55 |
| 15. november 2024 | 51 |
| 14. november 2024 | 51 |
| 13. november 2024 | 51 |
| 12. november 2024 | 48 |
| 11. november 2024 | 49 |
| 10. november 2024 | 47 |
| 9. november 2024 | 45 |
| 8. november 2024 | 40 |
| 7. november 2024 | 37 |
| 6. november 2024 | 38 |
| 5. november 2024 | 38 |
| 4. november 2024 | 39 |
| 3. november 2024 | 38 |
| 2. november 2024 | 38 |
| 1. november 2024 | 38 |
| 31. oktober 2024 | 37 |
| 30. oktober 2024 | 37 |
| 29. oktober 2024 | 40 |
| 28. oktober 2024 | 43 |
| 27. oktober 2024 | 43 |
| 26. oktober 2024 | 43 |
| 25. oktober 2024 | 42 |
| 24. oktober 2024 | 46 |
| 23. oktober 2024 | 51 |
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