About This Role
Seeking a Data Scientist Lead to drive strategic data and AI product development for airport operations, collaborating with engineering teams to build scalable models and provide actionable insights.
Responsibilities
- Collaborate with product owners and stakeholders to define data requirements and objectives.
- Design, build, and validate machine learning models and statistical algorithms for predictive insights.
- Perform exploratory data analysis to uncover trends and develop cost-effective data solutions.
- Collaborate with cloud architects, data engineers, and technology partners to leverage existing infrastructure.
- Lead team development of ML engineering specialists and big data experts.
- Ensure model deployment, monitoring, and versioning using MLOps practices.
Requirements
- At least 10 years of experience in a proven data scientist role.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.
- Strong knowledge of statistical methods and machine learning techniques (regression, classification, clustering, time series forecasting).
- Hands-on experience with Python and ML libraries (scikit-learn, XGBoost, TensorFlow, PyTorch).
- Familiarity with MLOps practices including model deployment and versioning (e.g., MLflow, Airflow).
- Experience with Git for version control and collaboration tools (GitHub/GitLab).