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Data Scientist
Posted: 01/14/2025
Job Number: z5G7h3l6a1kMvyS65NP3c1Yfb1ARrhfpokLYZ36Uuqk=
Pay Rate: 60-75 Hourly USD
Job Description
Role: Data Scientist with hands on Revenue management with Airline industries
Location: Remote
Type of Hire – Contract
Responsibilities
- Work with subject matter experts from airlines to identify opportunities for leveraging data to deliver insights 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 inhouse algorithms
- Collaborate with software engineers to implement and test production quality code for AIML 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 enhancements
Required Qualifications
- Advanced Degree in Statistics Operations Research Computer Science Mathematics or Machine Learning
- Proven ability to apply modeling and analytical skills to real world problems
- Knowledge of machine learning techniques clustering decision tree learning artificial neural networks etc and statistical concepts regression properties of distributions statistical tests etc
- Solid programming skills 2-3 languages out of R SQL Python TensorFlow PySpark Java JavaScript or C
- Absolutely must have graduate school level knowledge of Revenue Management models and algorithms
- Experience minimum 4 out of 7 with deployment of machine learning and statistical models on a cloud
- 1 MLOps within the enterprise CICD process for ML models 2 years
- 2 Experience deploying ML APIs in production environments in GCP using GKE 2 years
- 3 Experience in using GCP Vertex AI for ML and Big Query 1 year
- 4 Knowledge in Terraform and Containers technologies 2 years
- 5 Experience writing data processing jobs using GCP Dataflow and Dataproc 2 years
- 6 Experience setting up ML model monitoring and autoscaling for ML prediction jobs 1 year
- 7 Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store Artifacts Registry and Analytics Hub 1 year
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"
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