Data Scientist

This is a hybrid role blending data science and software engineering. The successful candidate will be responsible for developing and maintaining efficient supply chain solutions using cutting-edge technologies and best practices.

Skills and Technology Used:

Programming Languages: Proficiency in Python is required.

Database Management: Knowledge of SQL and Big Query is beneficial.

Cloud Environments: Familiarity with Azure (especially Databricks) and GCP environments is essential.

Data Visualization tools: Power BI and Looker (good to know, but not mandatory)

Development Tools:

Coding: VScode

Version Control: GitHub

Work Management: Jira, Miro Board

Additional Knowledge:

Machine Learning: Basic understanding is advantageous but not mandatory.

Optimization Techniques: Knowledge of linear programming (optimization/LP solver) is a plus.

Requirements:

Coding Practices: Efficient code maintenance through unit tests and regression tests.

Software Engineering Practices: Adherence to best practices in software engineering.

Cloud certification: YES

Consultant is expected to have certificate at latest 1 month after start, if not already certified.