Data Scientist responsible for data valorization and AI solutions at OLVEA. Join our team in driving digital transformation by developing impactful data - driven solutions.
About the role
- Student Assistant supporting Data Science projects by analyzing customer data and providing recommendations. Collaborating with consulting and simulation teams in logistics and production system implementations.
Responsibilities
- You process and analyze customer data, identify patterns and correlations, and derive recommendations for logistics and production systems
- You support our consulting and simulation team in exciting data science projects — from using BI tools and statistical software to scripting languages
- You actively contribute to the further development of the methods, scripts, and applications used by the team
- After a thorough onboarding, you will take on your tasks independently and contribute to the successful implementation of our projects with your analyses
Requirements
- You are enrolled in a technical degree program, e.g., Industrial Engineering, Computer Science, Mechanical Engineering, or a comparable field
- You have an interest in logistics and production-related topics
- You are enthusiastic about modern IT systems and digital technologies in factory planning
- Ideally, you have experience with an object-oriented programming language (e.g., Java, C#, C++ or similar)
- You are proficient with Microsoft Office applications
- Technical knowledge — Python & Django: You have experience working with the Django framework, including using the Object-Relational Mapper (ORM), modeling, creating views, and managing database migrations
- Web development: You have basic knowledge of HTML, CSS, and JavaScript to integrate and design user interfaces using Django templates
- Version control: You are familiar with Git, especially working with branches, creating pull requests, and resolving merge conflicts
- Advantageous: You have basic knowledge of Docker for containerizing and running projects in isolated environments
Benefits
- Flexible working hours with a balanced mix of client assignments, office work, and remote work
- Open, dynamic corporate culture with flat hierarchies, small teams, and appreciative feedback
- Structured onboarding into exciting projects at renowned companies within an international environment
- Modern offices in attractive city locations in Frankfurt am Main, Berlin, or Munich — with good transport connections, free parking, and beverages
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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