Design and develop machine learning models

Collaborate with business teams and clients to identify potential improvements

Work with the ML Engineering team to deploy models to production

Present results and recommendations to stakeholders and customers

Participate in continuous improvement of data processes and methodologies

Contribute to the implementation and enhancement of MLOps practices

Proficiency in Python programming

Advanced experience with machine learning libraries

Expertise in time series forecasting

Knowledge of MLOps practices and associated tools

Excellent communication and technical explanation abilities

Strong team spirit

Ability to collaborate effectively with different departments

Intellectual curiosity and active technology watch

Autonomy and initiative-taking

Master's degree in Data Science, Applied Mathematics, Statistics, or related field

Minimum 3 years of professional experience in Data Science

Proven experience in deploying machine learning models to production

Mentorship from experienced professionals in the area

Work in a collaborative, dynamic, and fast-paced environment.

Practical experience within an international SaaS provider leveraging public cloud solutions

Ongoing professional development and access to industry-leading tools and resources.

Networking opportunities within the organization