Data Science Engineer (f/m/d)

Prewave

Prewave is an AI-driven company dedicated to enhancing the transparency and sustainability of global supply chains. They collaborate with industry giants like BMW and Porsche to tackle supply chain complexities. This role involves advancing AI solutions to support their mission of improving operational resilience and sustainability.

In this role you can expect to have the responsibilities:

• Utilize natural language processing to extract insights from data.
• Formulate hypotheses and identify optimization opportunities.
• Develop and refine machine learning models using Torch and TensorFlow.
• Translate advanced algorithms into practical solutions.
• Enhance model performance and accuracy continuously.
• Incorporate new data sources to expand intelligence.
• Collaborate with teams to solve business challenges with data.

This role comes with the following benefits:

• Competitive compensation and benefits package
• Inclusive and supportive work environment
• Flexible working hours and work-from-home options
• Additional vacation day on birthday
• Office snacks and fresh fruits
• Engaging team events
• Health and wellness initiatives
• Choice of preferred operating system
• Training and professional development programs

This role requires you to have:

• Bachelor’s degree in Computer Science, Statistics, Mathematics or related fields
• 3+ years of experience in a data science environment
• Expertise in natural language processing or other machine learning technologies
• Proficiency in Python and Scala
• Experience with tools like Torch or TensorFlow
• Knowledge of SQL and relational databases

You would benefit from having:

• Master’s degree in a related field
• Familiarity with Google Cloud Platform or AWS
• Understanding of NoSQL database systems
• Knowledge of agile software development techniques

Prewave is recognized as a top startup in Austria, promoting a diverse work environment with team members from over 35 nationalities. They focus on fostering sustainable and ethical supply chain practices.