Associate - Data Scientist

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 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 Operations-Research-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, reduce costs, and boost customer engagement by leveraging state-of-the-art Operations Research (OR) techniques. Data Scientists contribute in developing smart and innovative solutions across many of United’s departments.

• Working on projects in partnership with business teams to identify opportunities for improvement and gathering and analyzing information and data
• Delivering high quality OR solutions and maintaining proper documentation to foster seamless workflows and code-reusability principles
• Effectively structuring communication of insights from workstreams and delivering clear and professional presentations to the team/team leaders/managers/stakeholders
• Performing regular technical coordination/reviews with stakeholders and ensuring timely reporting and escalations if any
• 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
  
  

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 Qualifications:

• Bachelor’s degree
• Engineering, Technology, Computer Science, Statistics, Applied Mathematics, Economics
• 0 – 2 years experience
• Strong OR fundamentals – LP, MILP, MDP, metaheuristics (such as GA and ACO), etc
  
  

Preferred Qualifications

• Experience designing algorithms/heuristics for solving OR formulations efficiently in an industry/academic setting
• Experience with C, C++, Java, R, Python, or other structured programming languages
• Theoretical and practical expertise in AI/ML modeling