Data Scientist

Responsibilites:

• Data analysis: Collect, clean, and analyze large datasets to identify patterns and trends
• Modeling: Develop predictive models and algorithms to solve complex business problems, whose solutions could stem from a variety of ML fields
• Communication: Communicate findings and insights to stakeholders in a clear and concise manner, gather requirements on further adoptions and future work.
• Converting data into insights

Requirements:

• Minimum 2 years hands-on industry experience with ML, AI, MLOps or data science projects.
• Master degree in a quantitative field (e.g. computer science, mathematics, physics, engineering, bioinformatics).
• Expert and up-to-date knowledge of supervised and unsupervised machine learning techniques.
• Expertise in recommendation systems is a plus.
•  Fluent in Python and in using common machine learning libraries (e.g., sklearn, pytorch/keras/tensorflow/opencv, etc.). 
• Familiar with MLOps frameworks, machine learning model deployment formats as well as cloud based ML pipelines.
• Familiar with agile software development and knowledge of professional software development practices, tools for source control and project management especially Git and Azure DevOps

Location: Wroclaw (hybrid 1-2 day a week)