Associate - Data Scientist
United Airlines
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Description
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 to developing smart and innovative solutions across many of United’s departments. Data Scientists contribute to developing smart and innovative solutions across many of United’s departments. A growing share of this work involves Generative AI and agentic systems — LLM-powered assistants, and multi-modal AI (Voice and Image)— deployed into production to augment contact center, operations, and customer-facing teams. Data Scientists are expected to grow comfortable working alongside these techniques in addition to classical machine learning.
Job overview and responsibilities
- Work with other data scientists and a variety of stakeholders (IT, DE, business, etc.) to gather and analyze data on United's various operations, delivering high-quality models and fact-based, data-driven recommendations
- Execute solutions to business problems using data analysis, machine learning and optimization tools, GenAI/LLM techniques (e.g., Agentic, prompt engineering), and optimization tools
- Execute and deploy solutions by leveraging the latest AI-assisted tools and techniques — such as coding agents, AI design and prototyping tools, and agentic frameworks — to rapidly prototype, build, and ship high-quality solutions with greater speed and efficiency
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