Job Description

United's Digital Technology team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics and digital solutions.

Our Values: At United Airlines, we believe that inclusion propels innovation and is the foundation of all that we do. Our Shared Purpose: "Connecting people. Uniting the world." drives us to be the best airline for our employees, customers and everyone we serve and we can only do that with a truly diverse and inclusive workforce. Our team spans the globe and is made up of diverse individuals all working together with cutting-edge technology to build the best airline in the history of aviation.

With multiple employee-run "Business Resource Group" communities and world-class benefits like health insurance, parental leave and space available travel, United is truly a one-of-a-kind place to work that will make you feel welcome and accepted. Come join our team and help us make a positive impact on the world.

Job overview and responsibilities

The Analytics and Innovation (Ai) team at United Airlines works to innovate, transform, and solve complex business problems resulting in significant and measurable enterprise impact through the application of deep cross-functional business expertise and advanced analytics. We work with business and technology partners across the enterprise (e.g. Airport Operations, Contact Centers, Network Planning, Revenue Management, Digital Products, Human Resources, etc.) to influence strategic decisions, enterprise strategy, business process, and to help connect the dots across the enterprise. We aim to be an organization with whom and within everyone loves to work!

Data Scientists within Ai partner with business and technology leaders across the company to deploy AI & ML powered solutions to support and automate business processes. The team works closely with other teams in digital technology with complementing skills and capabilities. The key objectives are to drive incremental revenue, boost customer engagement and to automate manual processes by leveraging state-of-the-art ML techniques. Data Scientists contribute in developing smart and innovative solutions across many of United's departments.

• Working in partnership with business teams to identify opportunities for improvement, gather and analyze information and data, developing solutions & driving innovation
• Apply knowledge of statistics, machine learning, programming, and data modeling to recognize patterns, identify opportunities, evaluate business opportunities, and deliver high impact models
• Effectively structure communication of insights from work streams and deliver clear and professional presentations to the team/team leaders/managers/stakeholders
• Formulate and develop end-to-end project pipelines to deploy scalable solutions on company platforms
• Execute solutions to business problems using data analysis, machine learning and optimization tools
• Mentoring junior resources on data science skills
• Research on latest machine learning models and share the knowledge across the team

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.

Qualifications

Required

• BTech/Bachelor's degree
• Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics
• Full time 2-5 years relevant work experience in analytics/data science
• Excellent analytical and problem-solving skills
• Proficiency in Programming Languages (Python), SQ and Big data
• Proficiency with mathematics and statistical analysis with significant hands-on experience in AI / Data Science.
• Knowledge of machine learning algorithms like Classification, Regression, Multi-Class Classification, Bagging (Decision Trees, RF), Boosting (XGBoost, LightGBM etc.), Clustering (KMeans), Natural Language Processing
• Ability to bridge business context with technical details and explain and discuss mathematical and machine learning technicalities to a business audience
• Ability to work as an individual contributor
• Strong interpersonal skills with a focus on teamwork

Preferred

• MTech/Master's degree
• Data Science, Business Analytics, Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics
• Knowledge of deep learning/neural networks and experience with CV
• Sound understanding in AWS Services including Sagemaker, Redshift, Athena, S3 & AWS data lake
• Experience in developing & deploying the end-to-end data science pipeline into production