Jobs → Data & Analytics → Data Scientist

About the Role Join a centralized Machine Learning team supporting multiple business units. This role involves taking ML models from prototype to production and owning the productionization of ML pipelines. Key Responsibilities • Productionize ML pipelines, including code refactoring and system optimization • Develop, deploy, orchestrate, and monitor ML models • Improve existing codebases for performance and scalability • Perform data extraction, cleaning, analysis, and feature engineering • Work with cross-functional teams to deliver production-ready ML solutions • Explain findings and technical details clearly to all levels Requirements • MS or PhD in Data Science, Computer Science, Statistics, Applied Math, or a related field • 3+ years in a quantitative discipline (9+ years total experience) • Strong Python (production-grade coding, modularization, testing, performance tuning) • Hands-on experience building and productionizing ML pipelines (deployment, orchestration, monitoring, optimization) • Solid knowledge of statistical and machine learning techniques Preferred • Databricks and Spark-based ML pipelines • SQL and large-scale datasets • MLflow, CI/CD, and model monitoring • Azure and data visualization (Tableau, Power BI) • Airline industry domain knowledge and consulting experience