| Data scientist lead Airlines Domain Experience , Remote at Remote, Remote, USA |
| Email: [email protected] |
| Role: Data scientist lead - Understanding of airline distribution, pricing, revenue management, NDC and Offer/Order Management concepts Duration:6-9 months contract Location: Remote role Visa: Any Client note- I dont care if they have every skill, if they have Airline and something having to do with the yellow highlighted below. Data science reqs total of 3 reqs (Lead, architect and Principal position), with same skillsets belowexp level would matter Skill Set/Experience: Work with subject matter experts from airlines to identify opportunities for leveraging data to deliver in-sights and actionable prediction of customer behavior and operations performance. Assess the effectiveness and accuracy of new data sources, data gathering and forecasting techniques. Develop custom data models and algorithms to apply to data sets and run proof of concept studies. Leverage existing Statistical and Machine Learning tools to enhance in-house algorithms. Collaborate with software engineers to implement and test production quality code for forecasting and data analytics models. Develop processes and tools to monitor and analyze data accuracy and models performance. Demonstrate software to customers and perform value proving benchmarks. Calibrate software for customer needs and train customer for using and maintaining software. Resolve customer complaints with software and respond to suggestions for improvements and enhancements. Required Qualifications Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning or related Quantitative disciplines. Proven ability to apply modeling and analytical skills to real-world problems. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Solid programming skills with knowledge of R, SQL, Python, PySpark or other data-extraction and analysis tools and programming languages such as Java, JavaScript or C++. Experience with deployment of machine learning and statistical models on a cloud and leveraging services like Amazon SageMaker and Amazon Forecast. Knowledge of airline revenue management algorithms and experience of developing demand forecasting and price optimization models Desirable Qualifications Familiarity with airline, hospitality or retailing industries and decision support systems employed there. Experience developing customer choice models, price elasticity estimation and market potential estimation. Understanding of airline distribution, pricing, revenue management, NDC and Offer/Order Management concepts. Carrier Ladder Thanks & Warm Regards, Alok Singh | Technical Recruiter TekNavigators Staffing Alok @tek-staffing.com tek-staffing.com -- Keywords: cplusplus rlang information technology |
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| Sat Jan 27 02:11:00 UTC 2024 |