Python (Linear Programming) Engineer - Remote in México
Indexed description
- Develop and maintain Python scripts and applications to support business processes.
- Create and Optimize math models, workflows, including uploading inputs into existing scripts, and design simple UI components where needed.
- Implement Linear Programming with Python.
- Implement data quality checks to ensure accuracy and consistency across datasets.
- Integrate and interact with databases for data storage and retrieval.
- Perform data extraction and parsing from third-party APIs.
- Support GIS mapping tasks.
- Bachelor Degree in Computer Sciences or equivalent and 4+ yoe
- Strong Experience in Python, implementing Linear Programming, create mathematical models, workflows and optimize them
- Develops mathematical models and workflows from concept to implementation, applying algorithmic thinking and analytical approaches to address business and technical challenge
- Experience in Azure Cloud
- Strong understanding of database interaction (SQL or NoSQL), data automation and building lightweight UIs.
- Knowledge of data quality frameworks and ETL/data processing tools.
- Ability to work with APIs for data extraction and integration.
- Advanced English Communication.
- Exposure to GIS concepts and libraries (e.g., GeoPandas, Shapely, QGIS), experience in C/C++, Python frameworks used in Linear Programming such as Scipy, Pyomo, Numpy, etc.
- Work on meaningful projects that use technology to solve real-world challenges.
- Exposure to top global companies working with Capgemini (145 of the Fortune 500 companies).
- Access continuous learning through internal academies, certifications, and mentorship.
At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.
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