Role: Lead Data Scientist Engineer
Duration: 12 Months
Location: Remote
Key skills required:
- Google Cloud (GCP) that is the preference but other cloud experience will work.
- Programming- Python and C++
- Data: PySpark
- Experience with Rally and JIRA is good.
- Airlines experience is a must or at least Hospitality experience. Revenue Management experience is a plus as well.
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
- 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 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.
Manager (Operations)
Suite #204, 8405 Sterling Street,
Irving - Texas - 75063.
linkedin.com/in/chandu-a-51a512198
Hangouts: aforakkineni
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