The Job

You are a professional Data Scientist who participates in the implementation of ValueChainOS Scheduling features. Together with our front-end engineers, you are configuring the product features to meet our customers’ needs. As a Data Scientist, you will tackle complex problems in the manufacturing industry and solve them through the deployment of our product's different features.

Your job includes:

• Research and deploy optimization algorithms to solve problems in manufacturing.
• Design and develop new algorithms to work as pre-process, constraint or post-process to the scheduling algorithms.
• Be able to work with extensive databases to process them.
• Design, develop, and test data processing pipelines.

Background

• Studies in computer science/engineering and applied mathematics/physics.
• +2 years of professional experience working with Python.
• +2 years of professional experience with software design patterns.
• Studies and experience on scheduling algorithms.
• Extensive knowledge researching and applying mathematical modeling.
• Experience using GitHub: Pull requests, merges, and versioning.
• Bonus: Knowledge of Operations Research.

You’re a fast learner who thrives in challenging environments and has a creative and structured approach to problem-solving. You are a team player who enjoys working in a passionate team, who is curious by nature and takes ownership at work. Also, you are responsible and result oriented: makes sure things get done, even if it means asking for help.

Responsibilities

• Implement the product's features, constraints and automatization pipelines.
• Develop features and constraints when required for the ongoing implementation. 
• Assisting in the collection and documentation of user’s requirements, development of user stories, and estimates.
• Design and develop following the established CI/CD standards.
• Support in the development of user’s manual for the implementation.
• Execute functionality tests for the developed code.

Ready to shape the future of manufacturing? Send your CV to [email protected]