Data Scientist

Responsibilities:

• Build, validate, maintain, and improve predictive models in context of large-scale manufactory.
• Lead projects from beginning to finish to enhance production and business performance by applying predictive models.
• Collaborate with data engineers and software engineers to integrate predictive models to existing and future data infrastructure and data visualization systems.
• Collaborate with process engineering, operations, production planning, and commercial teams to utilize domain-specific knowledge.
• Perform on-demand data analysis at requests from the management.

Experience:

• A PhD degree in statistics, physics, engineering, material sciences, computer science, mathematics, or a similar STEM field;
• A master’s degree in a field and a minimum of 3 years’ experience in a data-centric role, preferably in a high-throughput manufacturing environment.
• A bachelor’s degree in a field and a minimum of 5 years’ experience in a data-centric role, preferably in a high-throughput manufacturing environment.

Key Skills:

• Machine learning.
• Data visualization.
• Programming.
• Big data.
• Communication skills.
• Mathematics.
• Python.
• Business acumen.
• Cloud computing.