Data Scientist
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Ballerup
Do you like finding patterns in big chunks of data and create critical insights that make life sound better to people around the globe?
Join GN and contribute to feature, platform and technology development and work with cutting-edge technologies.
“You’ll get a unique opportunity to work with large amounts of data. Your work feeds directly into the company and makes a real difference for people with hearing loss,” says Anthea Bott, Team Lead.
We inspire innovation
Join GN Hearing at our HQ in Ballerup, Denmark. More than 8% of our revenue goes into research and development – enabling us to create intelligent audio solutions that transform the lives of people with hearing impairment.
In our R&D Machine Learning team, you will become part of a small and enthusiastic group of data scientists, machine learning engineers and audiologists who are passionate about their work. Moreover, you can look forward to collaborating and sharing knowledge with our research teams in the Netherlands and USA.
Your data analyses give us valuable insights
As our new data scientist, you will help us analyze data on how hearing aids are used by patients all over the world. The data is used in the product development phase to enhance the user experience and let our users hear more, do more and be more than ever thought possible.
You will immerse yourself into statistics, probability theory, programming (in Python) and Azure – and you will also have the opportunity to work with Pandas, Spark, XGBoost, Random Forest and neural networks.
More specifically, you will:
Curious and enthusiastic about data science
To match this role, you have an analytical approach to problem-solving, and you like to learn new things and get your teeth into applied research. Also, you are a team player who can collaborate with your team and a variety of colleagues from different departments – from audiologists to marketeers and R&D professionals.
Moreover, you:
Would you like to know more?
To apply, use the ‘APPLY’ link no later than 9 July 2021. Applications are assessed on a continuous basis, which is why we encourage you to send your application as soon as possible.
If you want to know more about the position, you are welcome to contact Anthea Bott, Team Lead, R&D Machine Learning Data & Insights on +45 30 36 57 13.
#LI-Resound
Join GN and contribute to feature, platform and technology development and work with cutting-edge technologies.
“You’ll get a unique opportunity to work with large amounts of data. Your work feeds directly into the company and makes a real difference for people with hearing loss,” says Anthea Bott, Team Lead.
We inspire innovation
Join GN Hearing at our HQ in Ballerup, Denmark. More than 8% of our revenue goes into research and development – enabling us to create intelligent audio solutions that transform the lives of people with hearing impairment.
In our R&D Machine Learning team, you will become part of a small and enthusiastic group of data scientists, machine learning engineers and audiologists who are passionate about their work. Moreover, you can look forward to collaborating and sharing knowledge with our research teams in the Netherlands and USA.
Your data analyses give us valuable insights
As our new data scientist, you will help us analyze data on how hearing aids are used by patients all over the world. The data is used in the product development phase to enhance the user experience and let our users hear more, do more and be more than ever thought possible.
You will immerse yourself into statistics, probability theory, programming (in Python) and Azure – and you will also have the opportunity to work with Pandas, Spark, XGBoost, Random Forest and neural networks.
More specifically, you will:
- Study and transform data science prototypes, i.e. make analyses of raw data from our data lake
- Select appropriate statistical analyses for large data sets
- Derive model numbers and make sure they associate real user behavior
- Extend existing machine learning libraries and frameworks
- Keep abreast of latest developments in the machine learning field
Curious and enthusiastic about data science
To match this role, you have an analytical approach to problem-solving, and you like to learn new things and get your teeth into applied research. Also, you are a team player who can collaborate with your team and a variety of colleagues from different departments – from audiologists to marketeers and R&D professionals.
Moreover, you:
- Bring an MSc in computer science, mathematics or similar
- Have a strong background in advanced statistical analysis
- Can write robust code in Python
- Have experience using Pandas and similar Python data libraries
- Are familiar with Azure
- Speak and write English effortlessly as English is our corporate language
Would you like to know more?
To apply, use the ‘APPLY’ link no later than 9 July 2021. Applications are assessed on a continuous basis, which is why we encourage you to send your application as soon as possible.
If you want to know more about the position, you are welcome to contact Anthea Bott, Team Lead, R&D Machine Learning Data & Insights on +45 30 36 57 13.
#LI-Resound
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Ballerup.
Jobbet er oprettet på vores service den 25.6.2021, 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
- Ballerup
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Statistik over udbudte jobs som data managere i Ballerup
Herunder ser du udviklingen i udbudte data manager i Ballerup 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.
Se flere statistikker her:
Statistik over udbudte data managere i Ballerup over tid
| Dato | Alle jobs som data managere |
|---|---|
| 4. oktober 2024 | 1 |
| 3. oktober 2024 | 1 |
| 2. oktober 2024 | 1 |
| 1. oktober 2024 | 1 |
| 30. september 2024 | 1 |
| 29. september 2024 | 1 |
| 28. september 2024 | 1 |
| 26. september 2024 | 1 |
| 25. september 2024 | 1 |
| 24. september 2024 | 1 |
| 23. september 2024 | 1 |
| 22. september 2024 | 1 |
| 21. september 2024 | 1 |
| 20. september 2024 | 1 |
| 19. september 2024 | 1 |
| 18. september 2024 | 1 |
| 17. september 2024 | 1 |
| 16. september 2024 | 1 |
| 15. september 2024 | 2 |
| 14. september 2024 | 2 |
| 13. september 2024 | 2 |
| 12. september 2024 | 2 |
| 11. september 2024 | 2 |
| 10. september 2024 | 2 |
| 9. september 2024 | 2 |
| 8. september 2024 | 2 |
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| 4. september 2024 | 2 |