Enterprise Solutions Inc

Data Scientist

Austin, TX 78701

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. 1 MLOps within the enterprise CICD process for ML models 2 years
  2. 2 Experience deploying ML APIs in production environments in GCP using GKE  2 years
  3. 3 Experience in using GCP Vertex AI for ML and Big Query  1 year
  4. 4 Knowledge in Terraform and Containers technologies  2 years
  5. 5 Experience writing data processing jobs using GCP Dataflow and Dataproc  2 years
  6. 6 Experience setting up ML model monitoring and autoscaling for ML prediction jobs  1 year
  7. 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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