The company is looking to solve complex commercial and operational challenges using machine learning and statistical techniques.
Requirements
- Some experience with Python, Structured Query Language (SQL), git and common data science and machine learning libraries
- Some experience building machine learning models
- Some experience writing production quality code and being familiar with software engineering best practices, including testing and version control
- Experience applying various data science techniques such as: Forecasting, Recommendation Systems, A/B Testing, Logistics Optimization, Churn Analysis, Segmentation Analysis, and Deep Learning
- Experience using Databricks, PySpark / Spark, Snowflake, dbt, Azure Cloud
Responsibilities
- Collaborate with other Data Scientists and AI/ML Engineers to support machine learning or other projects
- Support the development of data products through exploratory data analysis, feature engineering and model building
- Effectively communicate experiments, models and analytics outputs with the Data Science Team
Other
- High School Diploma or General Education Development (GED) Diploma
- One (1) year of professional experience
- Available for occasional overnight travel (10%)
- Must pass a pre-employment drug test
- Must be legally eligible to work in the country in which the position is located
- Authorization to work in the US is required. This position is not eligible for visa sponsorship
- Regular attendance and punctuality
- Potential need to work flexible hours and be available to respond on short-notice
- Able to maintain a professional appearance
- Promote JetBlue’s 1 value of safety as a Safety Ambassador, supporting JetBlue’s Safety Management System (SMS) components, Safety Policy and behavioral standards
