Student Worker (m/f/d) Data Science
Hamburg, DE
Danfoss
Danfoss engineers advanced technologies that enable us to build a better, smarter, and more efficient tomorrow. In the world’s growing cities, we ensure the supply of fresh food and optimal comfort in our homes and offices, while meeting the...Job Description
Would you like to take on a role where your ideas and input contributes to reveal energy optimization potentials with help of system simulation? For our Hamburg office, located directly in the Hafencity, we are looking for a Student Worker (m/f/d) Data Science to join our international Virtual System Solutions department. In this position, you will support the team in developing AI models for optimizing workflows as well as HVAC systems within the Virtual System Solutions team (ca. 20h/week).
Job Responsibilities
Your tasks in this role will include:
- Learn about state-of-the-art real-time modeling applications
- Conduct feasibility studies to establish proof of concept for various AI use cases
- Develop proficiency in data analysis through active participation in data collection, preparation, and analysis
- Collaborate closely with colleagues on projects and engage in a diverse array of tasks within an agile development environment
Background & Skills
For this position, you are a student of an engineering-related subject (Data Analytics Science, Data Engineering, Software Engineering, Process/Energy Engineering, Computer Science) or a comparable degree. In addition, we are looking for:
- Interest in future sustainable and artificial intelligence technologies
- Programming skills in Python
- Experience with common machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-Learn) or comparable tools are beneficial.
- Basic knowledge of thermodynamics and heat transfer is a plus
- Fact-oriented, open-minded person with good communication skills
- Fluent English skills required
- Working 1-2 days (maximum 20 hours/week) from the Hamburg office is mandatory
At Danfoss, we believe that a diverse and inclusive workplace fosters creativity, innovation, and a broader perspective in decision-making. When you consider this job posting, do you feel like your profile is not a perfect match? Numerous studies have found that women and people of color are more likely to apply only when they meet all requirements listed in the job posting. Even if you do not check all the boxes, we encourage you to apply anyway. We are curious to find out how you can bring new insights to the role or to Danfoss as an organization.
For more details on this position, contact Catharina Cuerten, Senior Talent Acquisition Partner, at +4969 8902 107.
Employee Benefits
We are excited to offer you the following benefits with your employment:
- Flexible working hours
- Possibility to work remotely
- Opportunity to join Employee Resource Groups
- State of the art virtual work environment
- Employee Referral Program
This list does not promise or guarantee any particular benefit or specific action. They may depend on country or contract specifics and are subject to change at any time without prior notice.
Danfoss – Engineering Tomorrow
At Danfoss, we are engineering solutions that allow the world to use resources in smarter ways - driving the sustainable transformation of tomorrow. No transformation has ever been started without a group of passionate, dedicated and empowered people. We believe that innovation and great results are driven by the right mix of people with diverse backgrounds, personalities, skills, and perspectives, reflecting the world in which we do business. To make sure the mix of people works, we strive to create an inclusive work environment where people of all backgrounds are treated equally, respected, and valued for who they are. It is a strong priority within Danfoss to improve the health, working environment and safety of our employees.
Following our founder’s mindset “action speaks louder than words”, we set ourselves ambitious targets to protect the environment by embarking on a plan to become CO2 neutral latest by 2030.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected category.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Computer Science Data analysis Data Analytics Engineering Machine Learning Python PyTorch Scikit-learn TensorFlow
Perks/benefits: Career development Flex hours Health care
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