Data Science Engineer

A highly successful Industrial AI company that engineers advanced Smart Manufacturing and autonomous decision-support platforms.

Operating globally, the company develops predictive AI architectures that analyze multi-dimensional sensor and control data to reduce operational overhead, eliminate industrial waste, and optimize heavy asset utilization.

Located in the Sharon region (exceptionally accessible, situated directly on a primary train line) and operates on a hybrid model.

Position Overview-

Senior Data Scientist joining an elite, cross-functional AI division to drive end-to-end Machine Learning lifecycles from exploratory research to live production environments.

Engineering robust, interpretable models optimized for real-time industrial decision-making, predictive analytics, and anomaly detection loops.

Handling highly complex, high-frequency Time-Series and telemetry sensor data to translate physical system behaviors into deterministic digital recommendations.

Utilizing a modern Data Science stack centered on Python, scikit-learn, XGBoost, LightGBM, and CatBoost.

Requirements-

M.Sc. or Ph.D. in Computer Science, Data Science, Statistics, Physics, or a highly quantitative scientific discipline - Mandatory

5+ years of proven professional experience as a Data Scientist or Machine Learning / Algorithm Engineer - Mandatory

Strong, production-grade proficiency implementing traditional and advanced Machine Learning algorithms - Mandatory

Direct domain background or project experience within at least one of the following fields: Industrial Systems / IoT, Smart Manufacturing, Drug Discovery, or Chemical Engineering - Mandatory

154167

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