Job Information
United Airlines Data Scientist - Machine Learning in Gurugram, India
Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.
Come join us to create what’s next. Let’s define tomorrow, together.
Description
Job overview and responsibilities
The Data Scientist will work on United's predictive maintenance use cases. This will include collaboration with aircraft engineers to plan installation of new aircraft sensors and avionics, enhancements to existing aircraft monitoring software, deployment of new predictive models, collaboration with OEMs, integration of health monitoring into United's approved maintenance programs, and technology to provide aircraft data directly to technicians.
Liaison with Stakeholders in the Aircraft Health Monitoring team, Aircraft Engineering and other Data Scientists to understand the importance of several Predictive Mx use case, their executive feasibility and do a cost benefit analysis to identify the highest impact use cases that need to be prioritized
Work on complex Sensor data coming out of AC systems like ACARS and QAR and be able to parse out relevant information
Analyze the AC Maintenance and Operations data that to identify issues with critical A/C systems
Build, Test, Deploy and Monitor complex Machine learning algorithms that predict AC failures
Maintain and enhance existing model deployments to make sure they stay valuable and relevant
Mentor junior members of the team and stay up to date with ML advances
This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.
Qualifications
What’s needed to succeed (Minimum Qualifications):
Bachelor's degree in a quantitative field
Quantitative field like Math, Statistics, Operations Research, Computer Science, Engineering, Physics, or related fields
At least 4 years of experience in Data Science/Machine Learning/advanced analytics/optimization
Deep understanding of data structures, relationships, and efficient transformations
Familiarity with all parts of the data ecosystem -- acquisition, engineering, storage, management, analysis, visualization, and model deployment and monitoring
Strong Knowledge of database querying and being able to write complex queries to extract data
Fluent skill in python/pyspark
Strong knowledge of Statistical Modelling, feature engineering, testing
Ability to propose novel modeling approaches based on the problem being solved
Must be legally authorized to work in India for any employer without sponsorship
Must be fluent in English and Hindi (written and spoken)
Successful completion of interview required to meet job qualification
Reliable, punctual attendance is an essential function of the position
What will help you propel from the pack (Preferred Qualifications):
Master's degree in a quantitative field
At least 2 years experience in a project leadership role preferred
Airline experience or knowledge of airline operations preferred
Experience with anomaly detection, imbalanced classification, and time series analysis is strongly preferred
Able to comprehend new data sources quickly and ask the right questions
Quickly get comfortable with new jargon