Analyst - Data Scientist Machine Learning

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Description

Team Overview

United Airlines' Digital Fleet Management department partners with Technical Operations leaders across the company to transform data and analytics into operational solutions. The team develops analytical products and data-driven insights that improve fleet performance and maintenance operations. This role requires strong analytical capability, product-development thinking, strategic problem solving, and effective relationships with internal and external partners.

Role Overview

The Analyst - Data Scientist will support both data analytics use cases and analytical product development. The role is responsible for work across the full lifecycle, including problem definition, data extraction and analysis, model development, productization, deployment, monitoring, and continuous improvement of production-grade analytical products and dashboards that support operational decisions.

Job Responsibilities

• Design, develop, and deploy analytical products that apply data analysis, statistical modeling, machine learning, and optimization to business and operational problems.
• Partner with business and technical stakeholders to translate data analytics use-cases into clear requirements, scalable solutions, and measurable outcomes
• Own work from concept through execution, including data preparation, prototyping, validation, productization, documentation, monitoring, and continuous improvement
• Analyze complex, high-volume data to identify patterns, generate actionable insights, and clearly communicate recommendations to technical and non-technical audiences
  
  

• Bachelor's degree
• Quantitative field such as Mathematics, Statistics, Operations Research, Computer Science, Engineering, or a related discipline
• 2+ years of experience in data science, machine learning, advanced analytics, or analytical product development
• Strong Python or SQL skills and hands-on experience with predictive modeling and machine learning
• Experience manipulating and analyzing complex, high-volume, and high-dimensional data from multiple sources
• Ability to translate business problems into analytics use cases, product requirements, and measurable success criteria
• Practical understanding of the analytical product lifecycle, including prototyping, validation, deployment, monitoring, documentation, and enhancement
• Strong SQL skills and experience working with relational databases and data-querying tools
• Working knowledge of distributed data-processing technologies such as Spark
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner and collaborate with business, data engineering, and technology teams
• Familiarity with Generative AI concepts and prompt writing
• Exposure to AI platforms such as Microsoft Copilot, ChatGPT, Gemini, Claude, Perplexity, and NotebookLM
• Exhibit written and spoken English fluency
  
  

• Master's degree
• Experience developing and supporting production analytical products through their lifecycle
• Experience with Palantir Foundry, including data pipelines, ontology-based applications, Workshop, or related application-development capabilities
• Experience with cloud or big-data ecosystems, APIs, unstructured data, version control, and CI/CD practices
• Experience developing dashboards, decision-support tools, or other user-facing analytical products
• Hands-on experience using AI tools in projects, internships, or work environments
• Knowledge of automation platforms such as Power Automate, Copilot Studio, Zapier, or n8n