JetBlue
AI

Data Scientist

JetBlue · New York, NY · $90k

Actively hiring Posted 4 months ago

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/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

Minimum Experience And Qualifications

  • 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

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))
  • The use of ChatGPT or any other automated tool during the interview process will disqualify a candidate from being considered for the position

Equipment:

  • Computer and other office equipment

Work Environment:

  • Traditional office environment
  • Two (2) back-to-back days per month in NYC

Physical Effort:

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

Compensation:

  • The base pay range for this position is between $90,500.00 and $128,600.00 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.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Machine Learning Data Science
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.