PROG VIE - DATA SCIENTIST (M/F) - DENMARK
Denne stilling er desværre ikke længere ledig.
Se alle ledige stillinger
Esbjerg
You will integrate a team of vie data scientists, and data engineers, led by a senior manager with extensive hands-on Data science experience applied to industrial data, and document analysis.
As part of the digital and data team of TotalEnergies Denmark, with the support of the data management team, the Data science team supports the broad ambition of digital transformation of exploration and production activities, through applied Data science and data-centric exploration of digital transformation use-cases.
The projects that successfully pass the exploration and framing phases will be completed in interaction with the TotalEnergies Digital Factory (TDF, based in Paris), or with other digital entities of the company.
This mission is based in Esbjerg, Denmark, where TotalEnergies Denmark has its operational offices for the Danish North Sea, where the oil and gas platforms are located.
The position will focus on exploring or identifying digital use cases (in the domain of production optimization, carbon footprint reduction & environmental performance, equipment failure reduction, data valorization), and developing high ambitions solutions, from exploratory analysis/framing to industrialization by the team or in collaboration with the digital factory.
This involves :
Other missions: data engineering and non-data science missions of the team (depending on profile):
Apply now ! #JT
As part of the digital and data team of TotalEnergies Denmark, with the support of the data management team, the Data science team supports the broad ambition of digital transformation of exploration and production activities, through applied Data science and data-centric exploration of digital transformation use-cases.
The projects that successfully pass the exploration and framing phases will be completed in interaction with the TotalEnergies Digital Factory (TDF, based in Paris), or with other digital entities of the company.
This mission is based in Esbjerg, Denmark, where TotalEnergies Denmark has its operational offices for the Danish North Sea, where the oil and gas platforms are located.
The position will focus on exploring or identifying digital use cases (in the domain of production optimization, carbon footprint reduction & environmental performance, equipment failure reduction, data valorization), and developing high ambitions solutions, from exploratory analysis/framing to industrialization by the team or in collaboration with the digital factory.
This involves :
- Active participation in data collection, preparation on variety of format of data. Abundant and good quality of industrial realtime data, documents, unstructured databases (predominantly comments and text), data from sap & specialized softwares...
- Exploratory data analysis, supported by subject matter experts;
- Advanced feature engineering and modelling;
- Coupling physical models with empirical/data-centric modelling strategies, on oil and gas or carbon-footprint reduction projects;
- For performance projects: text mining, labelling and use-case construction from multiple formats of data (pdfs, textual comments, structured and unstructured datasets);
- Developing advanced visualizations (interactive preferred platform in 2021: dash/plotly) to interact efficiently with users and SMES;
- Developing applications/solutions to make the analysis/models available to the relevant users (engineers management). In 2021, one of the apps developed with dash won one of the prestigious TotalEnergies innovation prizes.
Other missions: data engineering and non-data science missions of the team (depending on profile):
- Developing know how in python connections to multi-industry tools (SAP, OSISOFT PI, AVEVA), to PETEX digital oil field platform (state-of-the-art digital twin optimizer for well and surface networks), and other “metier” database systems;
- Support to development and deployment of offshore mobility solutions (tablets + apps). Android/React/Fluter/Xamarin coding skills are a plus, as some projects will involve those techs.
- Support to drones, lot, possibly robotics projects. development of the data valorization component of those technologies.
- Possible support to offshore testing and deployment of digital solutions developed by team or by the TDF;
- Technological watch.
Apply now ! #JT
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Esbjerg.
Jobbet er oprettet på vores service den 23.8.2021, 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
- Esbjerg
Lignende jobs
-
Master Data Specialist
Få mere info- Data Manager
- Vejle
-
Data Engineer for Schneider Electric
Data Engineer – Join Schneider Electrics Innovative Analytics Team in Kolding Are you passionate about leveraging your expertise in data engineering and software development to drive sustainabl..Få mere info- Data Manager
- Kolding
-
Data Manager til dao
Hvis vi siger: ”Agile Data Governance”, siger du så: ”ja tak, det er lige mig”? Du forstår nemlig værdien af data og vil elske at være den, der med en pragmatisk tilgang, sikrer implementering af e..Få mere info- Data Manager
- Vejle
-
Datatekniker elev - Infrastruktur
Få mere info- Data Manager
- Sydjylland
Statistik over udbudte jobs som data managere i Esbjerg
Herunder ser du udviklingen i udbudte data manager i Esbjerg 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 Esbjerg over tid
| Dato | Alle jobs som data managere |
|---|---|
| 20. december 2024 | 1 |
| 19. december 2024 | 1 |
| 18. december 2024 | 1 |
| 17. december 2024 | 1 |
| 16. december 2024 | 1 |
| 15. december 2024 | 1 |
| 14. december 2024 | 2 |
| 13. december 2024 | 2 |
| 12. december 2024 | 2 |
| 11. december 2024 | 2 |
| 10. december 2024 | 2 |
| 9. december 2024 | 2 |
| 8. december 2024 | 2 |
| 7. december 2024 | 2 |
| 6. december 2024 | 2 |
| 5. december 2024 | 2 |
| 4. december 2024 | 2 |
| 3. december 2024 | 2 |
| 2. december 2024 | 1 |
| 1. december 2024 | 2 |
| 30. november 2024 | 1 |
| 29. november 2024 | 1 |
| 28. november 2024 | 1 |