Job
In this role, you will develop machine learning models, build data acquisition pipelines, and create interactive applications using RShiny or Streamlit to gain data-driven insights.
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Job technologies
Your role in the team
- Predict42, a leading AI startup in the space of feedback analytics, is looking for a highly motivated Working Student in Data Science & Application Development to join our innovative team.
- This is a fantastic opportunity to gain hands-on experience in a cutting-edge environment, contributing to LLM-driven AI solutions and interactive data applications.
- You'll work closely with our data science and engineering teams, developing machine learning models, building data acquisition pipelines (including web scraping), and creating user-friendly interfaces with RShiny or Streamlit.
- Collaborate with the data science team to develop, implement, and deploy machine learning models, focusing on real-world business problems in feedback analytics.
- Assist in data acquisition efforts, including designing and developing web scraping solutions to collect and integrate relevant data.
- Contribute to data collection, preprocessing, analysis, and feature engineering to derive actionable insights, particularly from text-based data for LLM applications.
- Design and implement interactive data applications and prototypes using frameworks like RShiny or Streamlit to visualize insights, enable user interaction, and demonstrate model capabilities.
- Participate in the full lifecycle of data science projects, from understanding requirements to contributing to deployment and monitoring.
- Collaborate effectively with cross-functional teams (e.g., Backend Engineers, ML Engineers, Product) to understand project requirements and deliver integrated solutions.
- Continuously develop your technical skills and knowledge in data science, application development, and AI through hands-on experience and mentorship.
Our expectations of you
Qualifications
- Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
- Strong proficiency in Python or R for data analysis and programming.
- Vertrautheit mit der Entwicklung interaktiver Webanwendungen mit RShiny oder Streamlit.
- Familiarity with cloud computing platforms (e.g., GCP preferred).
- Understanding of data preprocessing, feature engineering, and data visualization techniques.
- Strong problem-solving and analytical skills with an aptitude for learning new technologies quickly.
- Excellent communication and teamwork skills.
- Proficiency in German.
Experience
- Hands-on experience with at least one web scraping library/framework (e.g., BeautifulSoup, Scrapy in Python).
- Basic understanding or experience with machine learning concepts and libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
What we offer
- Hands-on experience with cutting-edge AI and GenAI technologies.
- Mentorship from experienced data science professionals.
- Opportunity to contribute to impactful projects.
- Exposure to a dynamic startup environment.
- Competitive compensation.
- Flexible work arrangements to accommodate academic schedules.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Predict42 GmbH, based in Mainz, focuses on data- and software-based solutions. Its main emphasis is on AI, cloud, and platform topics, as well as the development and provision of corresponding software solutions. The company is described as an emerging AI/software company.
- Startup
- Onsite, Hybrid
- Internet, IT, Telecommunication
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