Königsweg is seeking a working student who is passionate about Data Science and Python to join our innovative team. We are committed to driving innovation and enabling our clients in their digital transformation journey. As a working student, you will have the opportunity to gain hands-on experience in data science and Python programming, while contributing to the continuous improvement of our data science products and services. Your work will make a significant impact on our clients' success and help you develop your skills in the field.
Duties and responsibilities
- Assist our experienced team of machine learning experts, engineers, and project managers in enhancing our data science products.
- Support the development of data-intensive distributed systems using Python and data science libraries.
- Participate in data preprocessing, model training, and performance evaluation tasks.
- Help develop and maintain data pipelines, ETL processes, and data storage solutions.
- Collaborate in an agile team that emphasizes quality, testability, and automation.
- Engage with the Python and PyData communities as part of Königsweg's commitment to these communities.
Appreciated qualification and experience
- Currently enrolled in a Bachelor's or Master's program in Computer Science, Engineering, or a related field.
- Passion for Data Science and Python programming.
- Programming experience in Python.
- Familiarity with data science libraries and frameworks, such as pandas, scikit-learn, TensorFlow, or PyTorch, is a plus.
- Strong problem-solving, communication, and collaboration skills.
- Eagerness to learn and grow in the field of Data Science and Python development.
Our enthusiastic teams collaborate daily with clients on innovative AI-based solutions and advanced optimization for various industries. Joining us means working alongside creative colleagues who develop ideas collectively and appreciate each other's expertise.
We are passionate about advancing artificial intelligence and scalable solutions. Becoming a member of our team allows you to collaborate with our talented professionals on inventive ideas and observe how they function within the developed solutions. We value mutual respect, amicable relationships, and results-driven work. We aim to be a family-friendly company and support contemporary working structures.
We recognize that our employees' individuality and diversity contribute significantly to our success. Our hiring process focuses on qualifications and career profiles. We encourage applications from all driven candidates, regardless of age, gender, disability, sexual orientation, origin, or religion.
Alexander Hendorf (email@example.com)