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

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

Find your future at United! We're reinventing what our industry looks like, and what an airline can be - from the planes we fly to the people who fly them. When you join us, you're joining a global team of 100,000+ connected by a shared passion with a wide spectrum of experience and skills to lead the way forward.

Achieving our ambitions starts with supporting yours. Evolve your career and find your next opportunity. Get the care you need with industry-leading health plans and best-in-class programs to support your emotional, physical, and financial wellness. Expand your horizons with travel across the world's biggest route network. Connect outside your team through employee-led Business Resource Groups.

Create what's next with us. Let's define tomorrow together.

Job overview and responsibilities

The team is currently looking for an entry level data scientist who has a passion for data and analytics with the willingness to dig deep into details as well as the ability to assess the big picture. In-depth understanding of modeling techniques and the ability to perform in a team as well as an individual is paramount to success in this role. The person must have experience to able to extract insights from large volumes of data and clearly communicate relevant triggers and recommendations. High-level responsibilities of the role include:

• Execute solutions to business problems using data analysis, data mining, optimization tools, statistical modeling and machine learning techniques
• Continuously develop and demonstrate improved analysis methodologies
• You will have strong modelling skills and are comfortable owning 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

Required

• Bachelor's degree required
• Master's Degree in a quantitative field like Math, Statistics, Operations Research and/or MBA preferred
• 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
• Exhibit written and spoken English fluency
• About 4-6 weeks of travel to US in a year required
• 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