USD-Sr Data Scientist Engineer
Onsite - IT - Business Intelligence / Reporting - Contract - Job ID: 24-00223
Title: Sr Data Scientist Engineer
Location: Fully Remote
Duration: 12-18 month contract
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
Airline industry is going through a drastic transformation in the area of retailing and distribution that requires very advance data analytics support to optimize revenue performance and customer experience. Recently introduced concepts of Offer/Order Management and Continuous Dynamic Pricing significantly expand opportunities for engaging with travelers through multiple touch points and creating personalized offers accounting for individual preferences and market context. These practices can substantially benefit from a combination of statistical and machine learning techniques leveraging huge volumes and variety of consumer and competitive data available in airline industry.
The Data Science Engineer applies expert level statistical analysis, data modeling, and predictive analysis on strategic and operational problems in airline industry. As a key member of the Operations Research team, you will leverage your statistical and business expertise to translate business questions into data analysis and models, define suitable KPIs, and graphically present results to a wide range of audiences including internal and external clients, sales, and development team. In addition, you will source data from multiple different data sources, write high-quality data manipulation scripts in R, Python, Perl, bash, etc, develop and ap-ply data mining and machine learning algorithms for advanced analysis and prediction. You will also utilize your strong communication skills to work with developers to support product development cycles and decision makers who need empirical data to promote sales and growth.
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.
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.
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
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.
Senior MS +2 years Diverse/moderately complex work is completed under minimal supervision, internal and external interaction, may lead projects. Employee can become proficient via a learned upper education curriculum such as a 4-year undergraduate degree as well as prior work experience in this or similar discipline. Manager makes assignments by defining objectives, priorities and deadlines, and assists the employee with unusual situations which do not have clear objectives. Employee plans and carries out successive steps and resolves problems and deviations in accordance with instructions, policies and accepted practices. Supervisor reviews the work for technical adequacy and conformance with practice and policy.
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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