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
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
What’s needed to succeed (Minimum Qualifications):
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
What will help you propel from the pack (Preferred Qualifications):
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

Work arrangement
No