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Lead Data Scientist Engineer
4 months ago
Immediate need for a talented Lead Data Scientist Engineer. This is a 09+ Months Contract opportunity with long-term potential and is located in Dallas, TX (Remote). Please review the job description below and contact me ASAP if you are interested.
Job ID:24- 21314
Pay Range: $80 - $85/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
- Understanding of airline distribution, pricing, revenue management, NDC and Offer/Order Management concepts.
- 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.
Key Requirements and Technology Experience:
- 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.
- 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.
Our client is a leading Travel Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
