Your Responsibilities

• Defining and evaluating key metrics for fleet network optimization.
• Creating forecast models for demand and supply to enable fleet balancing.
• Lead, build, and maintain machine learning models that are core to our success as a marketplace for private aviation.
• Performing customer segmentation and analysis based on various features to understand customer behaviors.
• Performing model evaluation and testing to improve accuracy and robustness.
• Maintain and update machine learning models to stay ahead of the change.
• Summarizing results and building dashboard to present findings to guide other stakeholders to make data driven decisions.
• Work with product managers and engineers to turn prototypes into robust, reliable solutions.

Required Skills, Qualifications, and Experience

• Master’s degree in a quantitative field like Math, Statistics or Machine Learning.
• 5+ years experiences of professional industry experience in machine learning (Experience with models and analysis for network optimization and experimentation a plus).
• Good understanding of machine learning algorithms and statistics and ML model development with prototyping.
• Proficient in Python and SQL.
• Experience with data visualization and cloud computing tools.
• Ability to communicate clearly and effectively to cross functional partners of varying technical levels.
• Experience with MLOps, worked on platforms such as Sagemaker etc.