Unlocking Data Science Potential
Job Description:
The successful candidate will be responsible for developing and deploying advanced machine learning models on AWS to drive business outcomes in supply chain management. This involves applying statistical and machine learning techniques to optimize cost-efficiency and customer satisfaction.
* Develop and deploy AI/ML systems for process optimization, including scheduling problems and simulating delivery scenarios.
* Enhance existing cloud-based data science solutions by implementing new ML algorithms and performing rigorous benchmarking.
* Work with cross-functional teams to identify opportunities and ensure smooth operation of production models.
* Design and prepare KPI reports to support strategic decision-making.
* Monitor cloud performance, data latency, and ensure data output quality through test and validation scripts.
Required Skills and Qualifications:
To excel in this role, you should possess a deep understanding of cloud-based technologies and have experience working with Python and SQL. Advanced experience with machine learning libraries is also essential.
* Strong proficiency in Python and SQL.
* Advanced experience with machine learning libraries.
* Deep knowledge of statistical analysis, machine learning techniques, and optimization methods.
* Experience working with AWS technologies (Lambda, API Gateway, SageMaker, etc.).
Benefits:
This role offers opportunities for professional growth and development in the field of data science. As a member of our team, you will have access to cutting-edge tools and technologies, as well as collaborate with experienced professionals in the field.
Others:
Occasional travel may be required for business needs.