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Title:  IT Data Scientist


Long Island City, NY, US, 11101

Req ID:  52760
Category:  Information Technology

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.

 Essential Responsibilities

  • 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 (CI) and continuous delivery (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

Minimum Experience and Qualifications

  • Bachelor’s Degree in computer science or a quantitative discipline; OR demonstrated capability to perform job responsibilities with a High School Diploma/GED and at least four (4) years of previous relevant work experience
  • Two (2) years of relevant industry experience
  • Proficiency in Python, Structured Query Language (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

Preferred Experience and Qualifications

  • 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

Crewmember Expectations:

  • 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 JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft
  • Must be an appropriate organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion and Fun
  • Promote JetBlue’s #1 value of safety as a Safety Ambassador, supporting JetBlue’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 report them whenever possible and by any means necessary including JetBlue’s confidential reporting systems (Aviation Safety Action Program (ASAP) or Safety Action Report (SAR))


  • Computer and other office equipment

Work Environment:

  • Traditional Office Environment

Physical Effort:  

  • Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)


  • The base pay range for this position is between $117,500 and $150,400 per year. Base pay is one component of JetBlue’s total compensation package, which may also include access to healthcare benefits, a 401(k) plan and company match, crewmember stock purchase plan, short-term and long-term disability coverage, basic life insurance, free space available travel on JetBlue, and more.




JetBlue Airways is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Nearest Major Market: Brooklyn
Nearest Secondary Market: New York City