Job description
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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 - Supply Chain, is responsible for the planning and execution of data analytics projects supporting the United Airlines Supply Chain organization including inventory planning, vendor management, components and engines shops, warehousing, and logistics functions. Projects can include report and metric design, strategic analysis, process improvement support, data science / machine learning projects management, decision support tool development, and predictive modeling. The Data Scientist owns the entire lifecycle of the project spanning ideation, planning, execution, and ongoing maintenance as applicable. In addition, the successful candidate will own a portfolio of existing analytic tools serving in a product ownership capacity.
- Synthesize 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
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 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
- Ability to work with unstructured data and extract information from it
- Experience using traditional statistical and industrial engineering techniques (e.g. inference testing, statistical process control, economic order quantity modelling, and process flow analysis)
- Experience communicating and visualizing complex analysis to specific audiences and at the appropriate level of abstraction
- Comfort creating and executing toward project plans
- 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, 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
- At least one years of airline experience preferred
- At least one year of supply chain experience preferred
- INFORMS CAP
- 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
- Basic experience manipulating datasets using the Apache Spark dataframe API
- Familiarity with Simulation techniques, i.e. Monte Carlo, Discrete Event Simulation (DES)
- Experience with optimization modeling tools and techniques
- Background in both traditional (waterfall) and agile project management methodologies
- Lean Six Sigma certification (Green Belt or Black Belt)
Equal Opportunity Employer – Minorities/Women/Veterans/Disabled/LGBT
