onsite
Manager, Data Science - MCGOUGH CONSTRUCTION
Data Scientist
Lead a high‑impact data science team to solve complex business problems, driving data‑driven decision making across construction operations using Python, SQL, machine learning, and cloud analytics on AWS.
About the role
Key Responsibilities
- Build and lead a focused data science team, setting strategy and ensuring delivery of high‑value analytical solutions.
- Define and implement data science frameworks that improve operational efficiency and decision quality across construction projects.
- Collaborate with cross‑functional stakeholders to translate business challenges into data‑driven models and insights.
- Oversee end‑to‑end data pipelines, from data ingestion and cleaning to model deployment and monitoring on AWS.
- Champion best practices in model validation, reproducibility, and ethical use of data.
Requirements
- Proven experience leading data science teams in a complex, data‑rich environment.
- Strong proficiency in Python, SQL, and machine learning libraries (scikit‑learn, TensorFlow, PyTorch).
- Hands‑on experience deploying models and data pipelines on AWS (S3, Redshift, SageMaker).
- Excellent communication skills, able to translate technical findings to non‑technical stakeholders.
- Advanced degree in Computer Science, Statistics, or related field preferred.
Skills
pythonsqlmachine learningaws