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Description

United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.

Job Overview And Responsibilities

United Airlines Enterprise Data Analytics department partners with business and technology leaders across the company to transform data analytics into a competitive advantage. An offshore team based in Delhi, India will work closely with this group and support it with complementing skills and capabilities. The key objectives are to improve operating performance, boost customer experience and drive incremental revenue by embedding data in decision making across all levels of the organization.

An entry level data analyst will be responsible for data, analytics and modeling to dig deep into details as well as to assess the big picture.

Execute solutions to business problems using data analysis, data mining, optimization tools, statistical modeling and machine learning techniques
Continuously develop and improved analysis methodologies
Analyze and model data and working from concept through to execution
Understand a business problem and the available data and identify what analytics and modeling techniques can be applied to answer a business question

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 Quantitative field like Math, Statistics, Operations Research
At least 2+ years of experience in modeling/ machine learning required
Proven comfort and an intellectual curiosity for working with very large sets of data, and hands-on knowledge in predictive modeling
Strong knowledge of either R or Python
Be experienced in manipulating and analyzing complex, high-volume, high dimensionality data from various sources to highlight patterns and relationships
Understanding of how and when to apply predictive and machine learning techniques like logistic regression, random forest, GBM, Neural Nets, SVM etc. is required
Be proficient in using database querying tools and able to write complex queries and procedures using Teradata SQL and/or Microsoft TSQL
Hands on experience in using Big Data ecosystems (Hadoop/Spark), API Gateways and non-structured data will be a plus
Being able to communicate complex quantitative analysis and algorithms in a clear, precise and actionable manner
Must be legally authorized to work in India for any employer without sponsorship
Must be fluent in English (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

Analyst - Data Scientist Machine Learning