Senior Data Scientist to join our team and drive data-driven decision-making in the manufacturing domain.

The ideal candidate will have hands-on experience in building, deploying, and optimizing machine learning models while working closely with cross-functional teams to implement scalable data solutions.

Key Responsibilities :

- Design, develop, and deploy machine learning and deep learning models for process optimization, predictive analytics, and operational efficiency.

- Work with large and complex manufacturing datasets to extract meaningful insights.

- Collaborate with business stakeholders and data engineers to understand requirements and define data science solutions.

- Build and automate data pipelines using CI/CD frameworks and containerized environments (Docker).

- Develop APIs to integrate data science models into production systems.

- Implement model monitoring, retraining, and performance tracking mechanisms.

- Present findings and actionable insights through reports and visualizations.

Required Skills and Experience :

- Strong programming skills in Python.

- Proven expertise in Machine Learning, Deep Learning, and Core Data Science concepts.

- Hands-on experience with TensorFlow, Docker, and CI/CD pipelines.

- Minimum 4 years of hands-on experience as a Data Scientist.

- Experience working with streaming or messaging systems such as Kafka.