About the role:
We are looking for a Data Scientist who will extract valuable insights and patterns from data to help our customers make informed decisions and solve problems. You will work with large amounts of data, using data experiments to generate models with strong predictive power, and then automate these in a MLOps framework.
Key Responsibilities:
- Understand customer challenges and suggest them actionable insights with clear business benefit of the proposed solution
- Work with large, complex data sets and applying advanced analytical methods as needed
- Develop deployable machine learning solutions that address the real root cause
- Interact with multiple stakeholders (from different levels) and effectively present findings by exploiting visual displays of complex quantity information in a simplified way
- Be the partner of choice regarding technology advisory for advanced analytics
- Actively and proactively perform market/trend scouting to stay up to date on the state-of-the-art technologies.
Mandatory Requirements:
- 5 to 8 years of hands-on experience in software development.
- Degree in Data Science, computer science, mathematics or a related field
- Strong programming skills, including Scikit-learn and TensorFlow/Keres.
- Proven experience with solving numerical optimization problems
- Experience with cloud platforms such as AzureML
- Experience working in agile environment
- Team player who is able to communicate and collaborate well with others
- Fluent in English (spoken and written)
- Mechanical, chemical or other engineering background
- Experience working with industrial control systems and Industrial Automation
Good to Have:
- Exposure to other cloud platforms like Azure and open-source cloud components.
- Hands-on experience with Docker, Kubernetes.
Preferred Skills & Attributes:
- Strong understanding of modern software architectures and DevOps principles.
- Ability to analyze complex problems and develop effective solutions.
- Excellent communication and teamwork skills, with experience in cross-functional collaboration.
- Self-motivated and capable of working independently on complex projects.