USD-Lead Data Scientist Engineer

Title: Lead Data Scientist

Location: Remote

Duration: Contract

Compensation

Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

Qualified candidates may send a copy of their resume (Word Format) to

Responsibilities

• Team Lead with 6+ years of 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.
• Knowledge of airline revenue management algorithms and experience of developing demand forecasting and price optimization models
• 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.
  
  

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.
  
  

About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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