Role overview
Position Summary
The Data Science & Analytics team at JetBlue is an integral part of the IT Data organization which reports directly to the Chief Digital & Technology Officer due to the strategic importance of Data at JetBlue. The Data Science & Analytics team consists of Operations Data Science (ODS), Commercial Data Science (CDS), Artificial Intelligence (AI) & Machine Learning (ML) engineering, and Business Intelligence teams operating in a center-of-excellence model reporting to the Senior Manager, Data Science & Analytics. The teams develop advanced Data products and insights for all cross-functional teams at JetBlue including up/cross-skilling the internal analyst community.
The Data Scientist applies machine learning and statistical techniques to help solve JetBlue’s most complex commercial and operational challenges. The Data Scientist will be responsible for Exploratory Data Analysis (EDA), feature engineering, feature selection, real-time streaming pipeline engineering, online/offline feature store curation, iterating various modeling approaches, evaluating error metrics, deploying Machine Learning models to the cloud, creating compelling visualizations and communicating findings effectively to large audiences. The Data Scientist reports to the Manager, Data Science.
What you'll work on
- Collaborate with teams across the business to translate their needs or challenges into machine learning or statistical problems
- Collaborate with business, engineering, infrastructure and data science teams to translate their needs or challenges into production-grade Artificial Intelligence (AI) and Machine Learning (ML) deployment architectures for batch, real-time streaming and edge deployments
- Integrate Artificial Intelligence & Machine Learning products through common libraries, robust data and Continuous Integration/Continuous Delivery (CI/CD) pipelines, deployment standards and documentation
- Support the development of data products through exploratory data analysis, feature engineering and model building
- Effectively communicate experiments, models and analytics outputs with partners
- Other duties as assigned
What we're looking for
- Advanced degree in Computer Science or a quantitative discipline
- Four (4) years of relevant industry experience
- Experience applying various Machine Learning techniques such as: Time Series Forecasting, Recommendation Systems, A/B Testing, Dynamic Pricing, Logistics Optimization, Churn Analysis, Segmentation Analysis, Natural Language Processing, Deep Learning and Reinforcement Machine Learning
- Experience using Databricks, PySpark / Spark, Azure Cloud, Kubernetes, Docker, PyTorch, Keras, Tensorflow