Senior Data Scientist in Offer Optimization

Company Overview

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Job Summary

As a Senior Data Scientist in Offer Optimization, you will play a critical role in designing and developing advanced models for Dynamic Pricing and Revenue Management applications. The position encompasses building real-time optimization algorithms, managing large-scale data pipelines, and utilizing machine learning techniques to maximize airline revenue. You will engage in innovative solutions within a highly competitive domain, merging data science, engineering, and research to achieve significant business outcomes.

Responsibilities

• Analyze specifications and define user requirements for software solutions.
• Design and develop technical solutions, perform feasibility studies, and propose effective workarounds.
• Develop software in compliance with relevant standards and guidelines.
• Data Engineering Activities:
  • Acquire datasets aligned with business needs.
  • Design, develop, and maintain optimal data pipeline architectures.
  • Implement data validation methods and tools to ensure quality and reliability.
  • Ensure compliance with data governance and security policies.
• Data Science Activities:
  • Train and calibrate machine learning models for different customers.
  • Define Key Performance Indicators (KPIs) and measure model performance.
  • Conduct data mining, analysis, and research to enhance algorithms.
  • Industrialize and implement prototypes into production.
  • Conduct unit, package, and performance tests to maintain quality standards.
  • Support customers by investigating model results and providing functional expertise.
  • Prepare documentation such as feasibility studies, solution overviews, and technical specifications.

Qualifications

• Expertise in machine learning and data science practices.
• Proven experience with data pipeline architecture and data engineering activities.
• Strong programming skills in languages such as Python, R, or similar.
• Knowledge of data governance and security policies.
• Experience in training and calibrating machine learning models.
• Ability to design and develop technical solutions effectively.
• Background in conducting data mining and analysis for algorithm enhancement.
• Educational qualifications: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.

Preferred Skills

• Familiarity with cloud platforms (e.g., AWS, Google Cloud) for data storage and processing.
• Experience with big data technologies (e.g., Hadoop, Spark).
• Understanding of advanced statistical methods and their applications in business.
• Knowledge of airline industry standards and practices.

Experience

• Minimum 5 years of relevant experience in data science, data engineering, or a related field preferred.

Environment

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Salary

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Growth Opportunities

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Benefits

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