Data Scientist
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Skanderborg
Do you have a passion for translating data into insights? Does working in a high-tech production setup with international collaboration intrigue you? Are you excited by being a part of a dedicated team that works with digitalization and improving data-enabled decision making?
Become a part of our ambitious Process & Analysis team
is a Danish technology company and a world-leading supplier of intelligent metering solutions and services. We experience a significant demand for our products, solutions, and services, and we have a strong focus on developing the most innovative and value-adding intelligent metering solutions and services for energy- and water consumption. Therefore, we are looking for a Data Scientist to join our Process & Analysis team.
With a direct reference to our Head of Process, you will become part of our Process & Analysis team in the Advanced Manufacturing department. In the team you will be working alongside highly skilled experts, and we collaborate to reach our ambition of turning manufacturing data into insight that enable benchmarking, implementation of best practices, optimization and continuously development of our supply chain. We are a highly professional team with an unformal atmosphere that functions as a tactical and strategical support function to Supply Chain Operations.
A job focusing on creating data insights for continuous development of our supply chain operations
In the position as Data Scientist your primary responsibility will be to drive data-based optimization initiatives enabling continuous improvements. You will do this through direct and consistent contact with various department leaders and specialists throughout supply chain – both locally in, Denmark but also at our facility in USA. You will play a vital role in converting department visions and goals into tangible tasks and projects. Additionally, you will use your ability to identify needed data for concept development and business improvements, by collaborating with our operational experts across all factories and ensure proactive actions are taken to realize this using e.g data modelling, machine learning and advanced simulation.
More specifically you will be responsible for:
Personality matters
We are looking for a talented Data Scientist who can take our operations data insights to new heights. We imagine, you hold a master’s degree in data science, computer science, statistics, or related fields, and we imagine that you have experience within modelling, coding, and statistics. Ideally, you have 3+ years of experience, but what matters most is your attitude and drive to innovate and create new and improve value-creating data solutions for supply chain stakeholders.
In addition, it is a requirement that you have experience with:
As a person, you are naturally positive and enjoy collaborating with stakeholders on several organizational levels. With your strong communication skills, you can communicate in an efficient and professional manner. You work structurally and analytically, making it easy for you to prioritize your tasks efficiently and reach your deadlines. You are enthusiastic about improvement as you see possibilities rather than restrictions, and therefore continuously seek new challenges that can improve and optimize our solutions. You find satisfaction in always pursuing turning complex problems into understandable simplicity when communicating.
You are fluent in English both written and spoken.
We offer more than just a job
We offer the opportunity to become a part of a company that plays a key role in the continuous digitalization of ’s supply chain having an impact on the efficient use of water and energy to the benefit of the climate. You will get a central role with a high degree of responsibility, where you can shape your own tasks while working with stakeholders and colleagues, who are willing to co-create.
We offer flexible working hours and numerous employee benefits at our headquarters, including a healthy canteen, free fruit, fitness facilities, in-house dental clinic, hairdresser, and a free health clinic. Moreover, we have an active employee association.
Do you want to be a part of ?
Please submit your application by using the link below. The applications are reviewed on a continuous basis, and you can expect a response within six weeks.
The job will be located at 's headquarters in Stilling, between Aarhus and Skanderborg.
In case of questions regarding the position, please contact Head of Process & Analysis, Jes Lindegren, on telephone number: +.
About
develops, produces, and sells smart energy and water meters, relating reading systems, data analysis tools, and services to utilities and other users worldwide. Through our leadership, expertise, and passion for partnership, we always think forward in pursuit of a brighter energy future; one that advances the performance of every customer, whilst creating lasting value for the communities they serve. We take responsibility for how we act, and we are committed to reducing waste to secure clean water and energy for a maximum number of people.
has over 1.700 employees in more than 20 countries with headquarters in Denmark. has a healthy economy, growth rates and a strong focus on development of technology and staff. You can read more about on our website where you can also see our annual report as well as our sustainability report. You can also follow us on LinkedIn and Facebook, to be updated on latest news and vacant positions.
Become a part of our ambitious Process & Analysis team
is a Danish technology company and a world-leading supplier of intelligent metering solutions and services. We experience a significant demand for our products, solutions, and services, and we have a strong focus on developing the most innovative and value-adding intelligent metering solutions and services for energy- and water consumption. Therefore, we are looking for a Data Scientist to join our Process & Analysis team.
With a direct reference to our Head of Process, you will become part of our Process & Analysis team in the Advanced Manufacturing department. In the team you will be working alongside highly skilled experts, and we collaborate to reach our ambition of turning manufacturing data into insight that enable benchmarking, implementation of best practices, optimization and continuously development of our supply chain. We are a highly professional team with an unformal atmosphere that functions as a tactical and strategical support function to Supply Chain Operations.
A job focusing on creating data insights for continuous development of our supply chain operations
In the position as Data Scientist your primary responsibility will be to drive data-based optimization initiatives enabling continuous improvements. You will do this through direct and consistent contact with various department leaders and specialists throughout supply chain – both locally in, Denmark but also at our facility in USA. You will play a vital role in converting department visions and goals into tangible tasks and projects. Additionally, you will use your ability to identify needed data for concept development and business improvements, by collaborating with our operational experts across all factories and ensure proactive actions are taken to realize this using e.g data modelling, machine learning and advanced simulation.
More specifically you will be responsible for:
- Doing data discovery on new and existing data sources
- Framing new ideas for data scientists based on dialogue with various stakeholders
- Spot, drive and support continuous improvement initiatives
- Conduct exploratory data analysis and clean data to prepare information for model input
Personality matters
We are looking for a talented Data Scientist who can take our operations data insights to new heights. We imagine, you hold a master’s degree in data science, computer science, statistics, or related fields, and we imagine that you have experience within modelling, coding, and statistics. Ideally, you have 3+ years of experience, but what matters most is your attitude and drive to innovate and create new and improve value-creating data solutions for supply chain stakeholders.
In addition, it is a requirement that you have experience with:
- Data management and visualization (e.g. Power BI)
- Data extraction and wrangling and ability in using different types of data analysis
- SQL, Python / R / Shiny, Collaborative coding using e.g. git
As a person, you are naturally positive and enjoy collaborating with stakeholders on several organizational levels. With your strong communication skills, you can communicate in an efficient and professional manner. You work structurally and analytically, making it easy for you to prioritize your tasks efficiently and reach your deadlines. You are enthusiastic about improvement as you see possibilities rather than restrictions, and therefore continuously seek new challenges that can improve and optimize our solutions. You find satisfaction in always pursuing turning complex problems into understandable simplicity when communicating.
You are fluent in English both written and spoken.
We offer more than just a job
We offer the opportunity to become a part of a company that plays a key role in the continuous digitalization of ’s supply chain having an impact on the efficient use of water and energy to the benefit of the climate. You will get a central role with a high degree of responsibility, where you can shape your own tasks while working with stakeholders and colleagues, who are willing to co-create.
We offer flexible working hours and numerous employee benefits at our headquarters, including a healthy canteen, free fruit, fitness facilities, in-house dental clinic, hairdresser, and a free health clinic. Moreover, we have an active employee association.
Do you want to be a part of ?
Please submit your application by using the link below. The applications are reviewed on a continuous basis, and you can expect a response within six weeks.
The job will be located at 's headquarters in Stilling, between Aarhus and Skanderborg.
In case of questions regarding the position, please contact Head of Process & Analysis, Jes Lindegren, on telephone number: +.
About
develops, produces, and sells smart energy and water meters, relating reading systems, data analysis tools, and services to utilities and other users worldwide. Through our leadership, expertise, and passion for partnership, we always think forward in pursuit of a brighter energy future; one that advances the performance of every customer, whilst creating lasting value for the communities they serve. We take responsibility for how we act, and we are committed to reducing waste to secure clean water and energy for a maximum number of people.
has over 1.700 employees in more than 20 countries with headquarters in Denmark. has a healthy economy, growth rates and a strong focus on development of technology and staff. You can read more about on our website where you can also see our annual report as well as our sustainability report. You can also follow us on LinkedIn and Facebook, to be updated on latest news and vacant positions.
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Skanderborg.
Jobbet er oprettet på vores service den 21.3.2024, 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
- Skanderborg
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Statistik over udbudte jobs som data managere i Skanderborg
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Se flere statistikker her:
Statistik over udbudte data managere over tid
| Dato | Alle jobs som data managere |
|---|---|
| 18. april 2024 | 1 |
| 17. april 2024 | 1 |
| 16. april 2024 | 1 |
| 15. april 2024 | 1 |
| 14. april 2024 | 1 |
| 13. april 2024 | 1 |
| 12. april 2024 | 1 |
| 11. april 2024 | 1 |
| 10. april 2024 | 1 |
| 9. april 2024 | 1 |
| 8. april 2024 | 1 |
| 7. april 2024 | 1 |
| 6. april 2024 | 1 |
| 5. april 2024 | 1 |
| 4. april 2024 | 1 |
| 3. april 2024 | 1 |
| 2. april 2024 | 1 |
| 1. april 2024 | 1 |
| 31. marts 2024 | 1 |
| 30. marts 2024 | 1 |
| 29. marts 2024 | 1 |
| 28. marts 2024 | 1 |
| 27. marts 2024 | 1 |