Summary:
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. If you're passionate about data, interested in building full-stack applications, and eager to learn in a fast-paced setting, we encourage you to apply!
Responsibilities:
- 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.
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.
- Hands-on experience with at least one web scraping library/framework (e.g., BeautifulSoup, Scrapy in Python).
- Familiarity with building interactive web applications using RShiny or Streamlit.
- Basic understanding or experience with machine learning concepts and libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- 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
Benefits:
- 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.
Gehalt: 12,04€ - 15,87€ pro Stunde
Leistungen:
- Flexible Arbeitszeiten
- Homeoffice-Möglichkeit
- Kostenlose Getränke
- Kostenloser Parkplatz
- Mentoring-Programm für Mitarbeiter
Sprache:
Arbeitsort: Zum Teil im Homeoffice in 55122 Mainz
