Data Scientist

5+ years of related work experience in similar industries.

Work Mode & Relation: Hybrid Mode & Working for NMDC Energy, Abu Dhabi.

Role & responsibilities

* Develop models to predict equipment failures and optimize maintenance schedules for heavy machinery, plant components, and other critical assets.

* Analyze project data and historical performance to forecast potential delays, cost overruns, and safety risks.

* Build models to optimize the procurement of materials and logistics, including predicting material costs, lead times, and potential supply chain disruptions.

* Use AI to analyze incident reports, near-miss data, and real-time sensor information to identify safety hazards, predict accident hotspots, and improve safety protocols on construction sites.

* Collaborate with engineering teams to develop AI tools that automate parts of the design process, such as generative design for structural components or optimizing layouts for efficiency and cost.

* Implement computer vision and other AI techniques to automatically inspect work, detect defects in materials, and ensure quality standards are met on-site and in manufacturing facilities.

* Stay up-to-date with the latest advancements in data science, machine learning, and design tools to continuously innovate and improve automation solutions.

Preferred candidate profile

* Proficiency in SQL, Python, SPARK along with pandas, scikit-learn, PyTorch/TensorFlow libraries.

* Experience on the Azure Cloud platform including Azure Databricks, Azure ML

* Experience working with Developer tools such as Azure DevOps, PyCharm/MS Visual Studio, Docker

* PowerBI or a similar data visualization software

* Experience with computer vision for drawing/model analysis.

* Knowledge of data processing tools, techniques and working with large datasets.

* Strong problem-solving abilities, analytical thinking with an ability to multi-task, acquire new skills, troubleshoot and resolve issues.

* Experience in design and prototype ML development with SQL datasets and training the model.

* A strong understanding of the EPC project lifecycle, from front-end engineering design (FEED) to commissioning and experience of Primavera P6, SAP, BIM, and IoT sensor data.

* Ability to work closely with project managers, engineers, and on-site personnel to understand their needs and translate business problems into data science solutions.