Analyst - Data Scientist Machine Learning
United Airlines (company site, opens in a new tab)2+ yrsGurugramOn-siteDirect career pageEst. 12–20 LPA
Posted on 21 Sept
Reach people at United Airlines
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at United Airlines you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead the development and deployment of AI/ML solutions to solve complex business problems across United Airlines' departments.
- Partner with business and technology teams to identify improvement opportunities, build end-to-end project pipelines, and deliver scalable machine learning models that drive revenue, engagement, and automation.
- Mentor junior data scientists and contribute to research and knowledge sharing on advanced machine learning techniques, including Generative AI and foundation models.
Minimum Requirements
- Bachelor's degree in Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, or Economics.
- At least 2 years of full-time relevant experience in analytics/data science involving machine learning and data modeling.
- Proficiency in Python and SQL with experience handling large, complex datasets, and knowledge of end-to-end machine learning lifecycle.
- Experience with classification, regression, ensemble methods, gradient boosting, clustering, and building AI solutions using Generative AI and foundation models (prompt engineering, embeddings, vector search, RAG, AI agents).
Ideal Candidate Profile
- Experienced data scientist with strong cross-functional collaboration skills, capable of translating business problems into effective AI/ML solutions with measurable impact.
- Familiarity with advanced AI domains such as Generative AI, Large Language Models, and deploying production-grade AI/ML systems using cloud-based platforms like AWS.
- Keeps current on latest machine learning models and practices, comfortable mentoring team members and working in a highly innovative and data-driven environment.