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- Aufgaben: Join our team to analyze data and develop machine learning pipelines for vehicle recommendations.
- Arbeitgeber: Be part of Mercedes-Benz, a leader in the automotive industry with a focus on innovation.
- Mitarbeitervorteile: Enjoy a flexible work environment with a start-up vibe and the perks of a global corporation.
- Warum dieser Job: Work on cutting-edge AI projects that have a real impact in a collaborative and dynamic team.
- Gewünschte Qualifikationen: Pursuing studies in Data Science or related fields with programming skills in Python and machine learning knowledge.
- Andere Informationen: Apply online with your CV and relevant documents; we welcome applications from all backgrounds.
Job Description – Working student in Data Science starting January 2025 (MER0003G04)
Working student in Data Science starting January 2025 Group: Mercedes-Benz Group AG
Description
Within the Mercedes-Benz Digital unit of the Marketing & Sales area, our team is responsible for ‘Customer Preferences & Vehicle Recommendations‘, covering topics from automated and personalized recommendations of vehicles & equipment based on customer preferences. Our team builds customer data analytics products of the highest quality. We operate in a highly cross-functional environment that connects the business perspective directly to our data scientists and data engineers. This allows us to successfully handle complex tasks and products while delivering high-quality solutions with fast business impact.
We are looking for an enthusiastic intern to join our team in January 2025 to help us with Customer Preferences & Vehicle Recommendations.
From your new role you can expect:
- Continuously evaluate and analyze existing and potential data sources for relevant data & feature engineering
- Support in the development of scalable data and machine learning pipelines with a real-time deployment focus for multiple use cases
- Ideate and support in the development of evaluation strategy to monitor performance of recommendation system
- Literature research & evaluation on new technologies or algorithms especially in the field of AI-based recommendation systems
- You will be part of a highly specialized team that extensively deals in AI & Data spectrum
- A working culture and the atmosphere of a start-up combined with the advantages of a large international corporation
- A flexible and agile working environment in intercultural and interdisciplinary teams
- Great freedom of design and short decision-making processes
- One of the most relevant and innovative topics within an established industry
Qualifications
- Studies in Data Science / Computer Science / Information Technology or relevant field
- Understanding of machine learning & deep neural network architectures
- Programming skills in Python with experience in TensorFlow or Keras or PyTorch is an advantage
- Experience in working with data processing tools such as Pandas, Numpy, and Apache Spark
- Experience in working with model lifecycle management is advantageous
- Experience in working with Git, CI/CD, Docker
- Personal skills: Enthusiasm for cloud, analytics & AI topics, problem-solving skills, outstanding teamwork, motivation, and commitment
- Fluent in written and spoken English
- Enrolled student with active resident permit in Germany
Additional Information:
When sending your online application, please attach your CV, certificate of enrollment, current performance record, relevant certificates, if applicable proof of mandatory internship, and the standard period of study (max. 5 MB) and mark your application documents as „relevant for this application“ in the online form.
Citizens of countries outside the European Trade Union please send, if applicable, your residence/work permit.
We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement.
Please understand that we no longer accept paper applications and that there is no right to get your documents returned.
If you have any questions regarding the application process, please contact HR Services by e-mail at or by phone: 0711/17-99000 (Monday to Friday between 10 a.m. to 12 a.m. and 1 p.m. to 3 p.m.).
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Working student in Data Science starting January 2025 Arbeitgeber: Daimler Trucks North America LLC
Kontaktperson:
Daimler Trucks North America LLC HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Working student in Data Science starting January 2025
✨Tip Number 1
Familiarize yourself with the latest trends in AI-based recommendation systems. This will not only help you understand the role better but also give you an edge during discussions with the team.
✨Tip Number 2
Brush up on your Python programming skills, especially with libraries like TensorFlow, Keras, and PyTorch. Being able to demonstrate your coding abilities can significantly boost your chances.
✨Tip Number 3
Engage with online communities or forums related to data science and machine learning. Networking with professionals in the field can provide insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with data processing tools like Pandas and Apache Spark. Having concrete examples of how you've used these tools in past projects can set you apart from other candidates.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Working student in Data Science starting January 2025
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the responsibilities and qualifications required for the working student position in Data Science. Tailor your application to highlight relevant experiences.
Highlight Relevant Skills: Emphasize your programming skills in Python and any experience with machine learning frameworks like TensorFlow, Keras, or PyTorch. Mention your familiarity with data processing tools such as Pandas and Numpy, as these are crucial for the role.
Prepare Your Documents: Gather all necessary documents including your CV, certificate of enrollment, current performance record, and any relevant certificates. Ensure that you mark your application documents as 'relevant for this application' when submitting online.
Submit Your Application: Upload your application through the designated online platform. Double-check that all documents are included and that your application is complete before hitting submit. Remember, paper applications are not accepted.
Wie du dich auf ein Vorstellungsgespräch bei Daimler Trucks North America LLC vorbereitest
✨Show Your Passion for Data Science
Make sure to express your enthusiasm for data science and AI topics during the interview. Share any personal projects or experiences that highlight your interest in machine learning and recommendation systems.
✨Demonstrate Your Technical Skills
Be prepared to discuss your programming skills, especially in Python, and your experience with tools like TensorFlow, Keras, or PyTorch. You might be asked to solve a coding problem or explain your approach to feature engineering.
✨Highlight Teamwork and Collaboration
Since the role involves working in cross-functional teams, emphasize your teamwork skills. Share examples of how you've successfully collaborated with others on projects, particularly in an agile environment.
✨Prepare Questions About the Role
Show your interest in the position by preparing thoughtful questions about the team's projects, the technologies they use, and how they measure the performance of their recommendation systems. This demonstrates your proactive attitude and eagerness to contribute.
