Sr. Lead Data Scientist at Remote, Remote, USA |
Email: [email protected] |
From: Ben, Heliogic LLC [email protected] Reply to: [email protected] Job: Sr. Lead Data Scientist Duration: 12 months contract Location: 100% Remote Top Skills: Airline Revenue Management experience is a must 4 to 6 yrs as a Lead Job Description: Responsibilities 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 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. Experience with deployment of machine learning and statistical models on a cloud and leveraging ser-vices 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 Team Lead MS + 6 years Diverse/complex work is completed under general direction, diverse interactions; liaison. Manager sets the overall objectives and resources available. Employee carries out the assignment, resolves most of the conflicts, coordinates work with others and interprets policy on own initiative. Employee keeps the supervisor informed of progress, potentially controversial matters, or far-reaching implications. Keywords: microsoft Sr. Lead Data Scientist [email protected] |
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Fri May 03 23:04:00 UTC 2024 |