Data Scientist - Machine Learning at United Airlines

Gurugram, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Predictive Maintenance, Statistical Modelling, Feature Engineering, Python, Pyspark, Data Analysis, Database Querying, Sensor Data, ACARS, QAR, Mentoring, Collaboration, Cost Benefit Analysis, Anomaly Detection, Time Series Analysis

Industry

Airlines and Aviation

Description

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

Responsibilities

The Data Scientist will work on predictive maintenance use cases, collaborating with aircraft engineers and other stakeholders. Responsibilities include building and deploying machine learning algorithms and maintaining existing model deployments.