Data Scientist

The Data Science & Analytics team at Jet Blue 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  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 Jet Blue including up‑cross‑skilling the internal analyst community.

The Data Scientist applies machine learning and statistical techniques to help solve Jet Blue’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.

• 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

• Bachelor’s degree in Computer Science or a quantitative discipline; OR demonstrated capability to perform job responsibilities with a combination of a High School Diploma/GED and at least four (4) years of previous relevant work experience
• Three (3) years of relevant industry experience
• Proficiency in Python, SQL, git and common data science and machine learning libraries
• Experience building machine learning models
• Able to write production quality code and be familiar with software engineering best practices, including testing and version control
• Ability to communicate their findings to both technical and non‑technical audience
• Ability to successfully complete technical interviews and take‑home test in areas of statistics, machine learning, SQL, Python, PySpark, optimization and MLOps
• Available for 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

• 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
• Regular attendance and punctuality
• Potential need to work flexible hours and be available to respond on short‑notice
• Able to maintain a professional appearance
• When working or traveling on Jet Blue flights, and if time permits, all capable crew members are asked to assist with light cleaning of the aircraft
• Must be an appropriate organizational fit for the Jet Blue culture, that is, exhibit the Jet Blue values of Safety, Caring, Integrity, Passion and Fun
• Promote Jet Blue’s #1 value of safety as a Safety Ambassador, supporting Jet Blue’s Safety Management System (SMS) components, Safety Policy and behavioral standards
• Identify safety and/or security concerns, issues, incidents or hazards that should be reported and…