United Airlines Technical Operations jobs

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United Airlines Data Scientist in Chicago, Illinois

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Technical Operations/Maintenance

Technical Operations includes the maintenance, and overhaul of our aircraft. This includes aircraft maintenance technicians, engineers, planners, ground equipment and facilities teams, supply chain teams and more.

Job overview and responsibilities

The Data Scientist will collaborate with the Analytics Products team and business SMEs to deliver machine learning solutions and provide consulation on machine learning techniques and technology. Our Analytics Products group is a global team energetic about using data to develop products or data-driven strategic solutions across United Airlines. We partner with subject matter experts across the business to build solutions for a wide variety of commercial and operations use cases. As a team, we focus on projects that drive strong financials, deliver improved customer experiences and support employee engagement. The data science team within Analytics Products focuses on predictive modeling, particularly with complex data, such as unstructured image and text, signal and time series data.

  • Synthetize and analyze data to be incorporated in the spare parts forecasting systems.

  • Support strategic Supply Chain initiatives with analysis accompanied by actionable recommendations.

  • Ensure alignment and prioritization with business objectives and initiatives – helping business owners make faster and smarter decisions.

  • Maintain, enhance and otherwise support a portfolio of existing analytic tools and ensure they continue to stay valuable and relevant.

  • Collaborate with stakeholders (both frontline and executive-level) to identify processes strategies, or decisions that can be improved by leveraging analytic insight.

  • Develop and validate performance metrics and models to identify operational and financial improvement opportunities.

  • Individually develop and execute toward project plans.

Required

  • Bachelor's degree in a quantitative field such as math, statistics, operations research or engineering required

  • Specialization in Data Analytics, i.e. Machine Learning, Databases management, applied statistics

  • Two to five years of experience in an analytics or process improvement-oriented role required

  • Baseline understanding of supply chain functions including sourcing/procurement, vendor management, inventory planning, warehousing, and logistics

  • Familiarity with database models, i.e. RDBMS, Hadoop, with high-level proficiency integrating and otherwise manipulating complex transactional data in relational databases using SQL

  • Familiarity with scripting programming languages, i.e. R, SAS, Python

  • Familiarity with Machine Learning techniques

  • Familiarity with data visualization tools, i.e. TIBCO Spotfire, Tableau, MS-Power BI or equivalent

  • Must be legally authorized to work in the United States for any employer without sponsorship

  • Successful completion of interview required to meet job qualification

  • Reliable, punctual attendance is an essential function of the position

Preferred

  • Master's degree in a quantitative field such as math, statistics, data science/machine learning, operations research, engineering and/or MBA preferred

  • Six Sigma Black Belt certification preferred

  • Project management experience preferred

  • Experience in operations research, industrial engineering or related field involving solving complex business problems preferred

  • Experience developing and deploying machine learning models on platforms such as AWS, Azure, Sales Force or Google Cloud platforms

  • Familiarity with maintenance, repair, and overhaul (MRO) functions

  • Familiarity with the airline industry

  • Strong background in one or more supply chain functions

  • Experience with machine learning techniques, i.e. Natural Language Processing, Computer Vision

  • Familiarity with Deep Learning techniques

  • Familiarity with ERP systems

  • Familiarity with Multi-Echelon Supply Chain models

  • Familiarity with Spare Parts Inventory Planning methods, i.e. METRIC

  • Applied understanding of process improvement methodologies such as lean and six sigma.

  • At least one years of airline experience preferred

  • At least one year of supply chain experience preferred

Equal Opportunity Employer – Minorities/Women/Veterans/Disabled/LGBT

Division: 66 Technical Operations/Maintenance

Function: Tech Ops / Maintenance - Management & Administrative

Equal Opportunity Employer – Minorities/Women/Veterans/Disabled

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