Informacje o stanowisku

Airlines

B2B

C++

Data Science

Java

ML

Python

R

SQL

Terraform

Revenue Management

GCP

BigQuery

Dataflow

SUMMARY

Interested in developing advanced algorithms to help drive the competitive edge for the airlines? Are you looking for a challenging career at a company that values Operations Research as essential to the success of its products and future growth?

Our team develops and supports the optimization components across many product areas including airline crew scheduling, airport resource management, and operations recovery.

YOU WILL

• Work with subject matter experts from airlines to identify opportunities for leveraging data to deliver insights and actionable predictions 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 AI/ML models.
• Develop processes and tools to monitor and analyze data accuracy and models’ performance.
• Demonstrate software to customers and performance-providing benchmarks.
• Calibrate software for customer needs and train customers to use and maintain software.
• Resolve customer complaints with software and respond to suggestions for enhancements.

MUST HAVE

• Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, or Machine Learning.
• 8+ years of software development experience with a record of delivering successful products and developing complex optimization algorithms.
• Proven ability to apply modeling and analytical skills to real-world problems.
• Knowledge of ML techniques (clustering, decision tree learning, artificial neural networks, etc.) and statistical concepts (regression, properties of distributions, statistical tests, etc.).
• Graduate school-level knowledge of Revenue Management models and algorithms.
• Experience (minimum 4 out of 7) with the deployment of ML and statistical models on a cloud:
• MLOps within the enterprise CI/CD process for ML models.
• Experience deploying ML APIs in production environments in GCP using GKE.
• Experience in using GCP Vertex AI for ML and BigQuery .
• Knowledge in Terraform and Containers technologies.
• Experience writing data processing jobs using GCP Dataflow and Dataproc .
• Experience setting up ML model monitoring and autoscaling for ML prediction jobs.
• Understanding of ML concepts to scale ML across different services by leveraging Feature Store, Artifacts Registry, and Analytics Hub.
• Strong English communication skills, written and verbal.

NICE TO HAVE

• 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.

OUR OFFER

• Relocation package (4500 PLN total value), paid in three installments (1500 PLN per month) in case your permanent presence in the office is mandatory, and you need to relocate from another city.
• Benefits: Extended medical care (over 2000 medical facilities in Poland, 80 in Kraków) for you and your family; Multisport card ; Life insurance .

Kraków - Oferty pracy w okolicznych lokalizacjach