Job Profile

About the company - Vista is the world’s #1 private aviation company. Vista is a house of brands - Vistajet, XO, RedWing, TalonAir - offering asset-light services to cover all segments of business & leisure aviation: guaranteed and On Demand global flight coverage; aircraft leasing and finance; and cutting-edge aviation technology. Our mission is to use technology to lead the change to provide customers with the most advanced flying services and the very best value, anytime, anywhere around the world. Vista’s knowledge and understanding of all facets of the industry deliver the best end-to-end offering and technology to any business aviation customer, through its VistaJet and XO branded services.

About the team: The Product Management team at Vista is a centralized function that includes Product, Data Science, And Analytics. We take ownership and are accountable for getting things done. Through curiosity, learning, and coaching, we grow as individuals and teams. As one of our product leaders says, We are a problem solving club. #One team An exceptional team: our hiring bar is high and your colleagues are talented, motivated, self-starters. Salary range: $160,000 to $170,000

Your Responsibilities

• Apply advanced mathematical and statistical techniques to create and improve demand forecasts for private jet travels.
• Develop dynamic ticket pricing models reflecting factors that affect demand, such as seasonality and competitive pricing.
• Build models for revenue management to improve the flight booking process.
• Build predictive models to help understand clients’ purchasing behavior and incentives.
• Perform data mining, data transformation and data visualization from SQL-based database systems.
• Explore and gather different data sources that will help improve business decisions.
• Design modeling and analysis procedures using open source programs.
• Organize conclusions drawn from data exploration and modeling into action items.
• Improve model accuracy by combining state of the art technology and machine learning algorithms.
• Lead the integration of Predictive Analytics, Pattern Recognition, Data Mining, Reporting and Data Visualization into ongoing business processes.
• Identify business problems where data mining solutions could yield actionable Insights.
• Guide and mentor data scientists on machine learning algorithms and connect with business teams to improve integration of machine learning models.

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, data cleansing, coding analysis, data exploration, modeling, and reporting (Experience with models and analysis for pricing, targeting and experimentation a plus)
• Design modeling and analysis procedures on existing and experimentally created data using machine learning algorithms with open source tools
• Good understanding of machine learning algorithms and statistics and ML model development with prototyping
• Experience with revenue management and pricing
• Proficient in Python/R and SQL (Proficiency in NoSQL database technologies a plus)
• Experience with data visualization and cloud computing tools (AWS, Azure, or Google Cloud) and Git version control
• Developing SQL-based database systems for machine learning feature stores
• Ability to communicate clearly and effectively to cross functional partners of varying technical levels
• Experience with MLOps, worked on platforms such DataBricks, Sagemaker etc.