Data Scientist - Digital Solutions

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.