Role Summary: We are seeking a highly skilled and motivated Full Stack Data Scientist to join our dynamic team. The ideal candidate will be responsible for the entire data science lifecycle, from data extraction and preprocessing to model development, deployment, and monitoring, with a focus on driving innovation and efficiency within our infrastructure and real estate projects. You will work with complex datasets to uncover insights, build predictive models, and develop data-driven solutions that impact our business operations and strategic decisions.

Key Responsibilities:

• Develop and implement end-to-end data science solutions, including data collection, cleaning, feature engineering, model training, and validation.
• Design, build, and maintain scalable data pipelines for ingestion, processing, and storage of large volumes of structured and unstructured data.
• Apply machine learning algorithms and statistical techniques to solve complex business problems in areas such as project risk assessment, resource optimization, predictive maintenance, and demand forecasting.
• Deploy machine learning models into production environments using MLOps best practices and ensure their continuous monitoring and improvement.
• Collaborate with cross-functional teams, including engineers, project managers, and business stakeholders, to understand requirements and translate them into data science solutions.
• Create compelling data visualizations and dashboards to communicate findings and insights to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and relevant technologies, and evaluate their potential application to L&T's business.