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Data Scientist

vor 2 Monaten

Berlin, Berlin, Deutschland ZDF Sparks GmbH Vollzeit
About the Role

We are seeking a highly skilled Data Scientist to join our team at ZDF Sparks GmbH. As a Data Scientist, you will be responsible for designing, implementing, and modernizing data systems, solutions, and algorithms from data analytics to advanced AI/ML solutions.

Key Responsibilities
  • Design and implement data systems, solutions, and algorithms for data analytics and AI/ML applications
  • Work with structured and unstructured data, including preprocessing and visualization
  • Help train new models for various use cases, from POC to production
  • Collaborate with cross-functional teams to integrate AI solutions in business processes
Requirements
  • Strong proficiency in Python, including data manipulation and analysis with pandas and NumPy, and data visualization using Matplotlib and Seaborn
  • Expertise in libraries and tools like scikit-learn, Hugging Face, TensorFlow/PyTorch for machine learning and deep learning tasks
  • Hands-on experience in data analytics, feature engineering, and model evaluation with a focus on performance optimization
  • Strong interest in designing and implementing algorithms and building generative AI applications
  • Excellent communication skills in English and preferably in German
About Us

ZDF Sparks GmbH is a leading provider of AI solutions and algorithms for the media industry. We are a fast-paced, cross-functional, and diverse team that values innovation, transparency, and fun. We offer a hybrid office and mobile work model, flexible working hours, and a professional development budget for conferences, certifications, or external courses.

Our Values
  • Transparent: We believe in clear, open communication within our team and with our clients
  • Fun: We believe that work should be enjoyable and fulfilling
  • Diverse: Our strength lies in our diverse team, and we value different perspectives and backgrounds
  • Innovative: We live and breathe innovation, continuously learning and pushing boundaries