DATA SCIENTIST

Identify and define business problems suitable for AI solutions; translate ambiguous business needs into clear data science problems; develop and implement optimized AI models that drive measurable business impact, improve efficiency, and support strategic objectives

Responsibilities

Identify and define business problems suitable for AI/ML solutions

Align AI solutions with strategic business goals and ROI expectations

Design, prototype, and develop ML models using structured and unstructured data

Pull datasets from project management tools, ERP systems (e.g., SAP), BIM software, and IoT sensors

Apply machine learning techniques (e.g., regression, clustering, neural networks) for predictive and prescriptive analytics

Develop models for predictive maintenance, risk forecasting, supply chain optimization, and quality control.

Serialize models and support deployment into production environments

Collaborate with engineer...