United Airlines Hiring for Analyst – Data Scientist at Gurgaon, India Full Time

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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 Analyst – Forecast Modeling, is responsible for the planning and execution of spare parts inventory forecasting activities supporting the United Airlines Supply Chain organization. This position will interact with multiple supply chain areas, i.e. inventory management, vendor management, components and engines shops, warehousing, and logistics functions. This senior analyst will support on the development and maintenance of the spare parts inventory forecasting processes and analytical tools, strategic analysis, process improvement support, and other related decision support tools. This role will interact very closely with the Data Science team and be responsible for the execution of the scheduled and ad-hoc forecasting models, and their ongoing maintenance as applicable.

• Maintain, enhance and otherwise support the models for the spare parts inventory forecast and ensure they continue to stay valuable and relevant

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

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

• Monitor forecasting model performance metrics and identify operational and financial improvement opportunities

• Individually develop and execute toward project plans

• Continuous improvement of the forecasting tools

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.

Required

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

• Specialization in Supply Chain Management, Applied Statistics, Forecasting

• One to three years of experience in an analytics or process improvement-oriented role required

• Proved ability to develop forecasting models

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

• Familiarity with Line and Base maintenance planning and operations

• Familiarity with relational database models and SQL

• Familiarity with Statistical Forecasting techniques, i.e. ARIMA, Exponential Smoothing, Croston’s and Unobserved Component method

• Familiarity with forecasting performance metrics, i.e. MPE, MAPE, WMAPE

• Experience using traditional statistical and industrial engineering techniques (e.g. inference testing, statistical process control, economic order model and process flow analysis)

• Familiarity with spare parts demand forecasting techniques

• Familiarity with Supply Chain models

• Familiarity with Maintenance Planning process

• Executive presence (written and verbal communication)

• Experience communicating and visualizing complex analysis to specific audiences and at the appropriate level of abstraction

• Ability to develop phased implementation plans and comfort creating and executing them

• Ability to identify opportunities in existing processes where analytic insight can support improvements in quality, service and/or reductions in cost

• Must be legally authorized to work in India for any employer without sponsorship

• Must be fluent in English and Hindi (written and spoken)

• 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 and/or MBA preferred

• Six Sigma Black Belt certification preferred

• Project management experience

• Previous experience in operations research, industrial engineering or related field involving solving complex business problems

• Familiarity with ERP forecasting capabilities

• Experience developing and deploying forecasting models using scripting programming languages such as R, SAS and Python

• Familiarity with SAS Enterprise Guide and Forecast Studio

• At least two years of airline experience

• Two to five years of supply chain experience

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

• Familiarity with the airline industry

• Strong background in one or more supply chain functions

• Familiarity with ERP systems

• Familiarity with Multi-Echelon techniques (METRIC)

• Familiarity with data science and machine learning techniques

• Background in both traditional (waterfall) and agile project management methodologies

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

• Familiarity with Line and Maintenance Planning

• Familiarity with MRO planning

• Familiarity with the application of Forecast Value Added (FVA) approach

• Programming experience in a scripting language such as Python or R

• Basic experience manipulating datasets using the Apache Spark dataframe API

• Familiarity with Simulation techniques, i.e. Monte Carlo, Discrete Event Simulation

• Familiarity with optimization modeling tools and techniques

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