Data Scientist

About the job

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: · 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 to influence strategic decisions, enterprise strategy, business process, and to help connect the dots across the enterprise. Qualifications: What you’ll need to succeed (Minimum Qualifications): • Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Operations Research • 2+ years of hands-on experience in machine learning, statistical modeling, or applied data science • Strong curiosity and comfort working with large, complex datasets, with experience in predictive modeling • Proficiency in Python, with experience using modern ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) • Experience analyzing high-volume, high-dimensional data from multiple sources to uncover patterns and insights • Solid understanding of machine learning techniques such as logistic regression, random forest, gradient boosting, neural networks, and SVMs. • Foundational knowledge of deep learning concepts and architectures (e.g., CNNs, RNNs, transformers). • Familiarity with emerging areas such as Generative AI and/or computer vision is a plus. • Proficiency in SQL, with experience writing complex queries and working with relational databases. • Familiarity with cloud platforms, preferably AWS, for data processing and model development. • Ability to clearly communicate complex analyses and translate them into actionable insights.