About the role
AI summarisedLead data scientist role at an airport operations technology team, responsible for driving the development of data and AI products to optimize airport operations. The role involves collaborating with stakeholders, designing machine learning models, and leading a team of data scientists.
BusinessFull-time6884
Key Responsibilities
- Collaborate with product owners, data engineers, and partners across all product development stages - from concept and design to prototyping, testing, data curation, deployment, industry scaling, and end-of-life.
- Collect, process, and analyse large data sets from various sources.
- Design, build, and validate machine learning models and statistical algorithms.
- Perform exploratory data analysis to uncover insights and trends.
- Collaborate with stakeholders to define data requirements and objectives.
- Communicate findings and recommendations to non-technical stakeholders.
Requirements
- At least 10 years of experience in a proven role as a data scientist or similar function, with at least 3 years in managing a team of data scientists, machine learning engineers and big data specialists.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
- Strong knowledge of statistical methods and machine learning techniques such as regression, classification, clustering, time series forecasting, and anomaly detection.
- Strong programming skills in Python (and/or R), with hands-on experience using machine learning libraries such as scikit-learn, XGBoost, TensorFlow, and PyTorch.
- Solid understanding of data wrangling, exploratory data analysis, feature engineering, and model evaluation, paired with the ability to select or define appropriate success metrics grounded in real business context.
- Familiarity with MLOps practices including model deployment, monitoring, and versioning of ML artifacts (e.g., MLflow, Airflow, integration with CI/CD pipelines).
- Experience using Git for version control and familiarity with common collaboration tools such as GitHub or GitLab.
- Experience with data visualization tools like Tableau or Power BI.
- Excellent problem-solving skills and attention to detail.
- Strong storytelling, communication and collaboration skills.
- Awareness of data governance, privacy, and security practices (e.g., GDPR, PDPA).