Description

Head of Data Science Pricing (International)
Pricing Tech Team
OVERVIEW

About the company - Vista Global is the world's leading private aviation company. A global group headquartered at the DIFC in Dubai, Vista Global integrates a unique portfolio of companies offering asset-light services to cover all key aspects of business aviation: guaranteed and On Demand global flight coverage; aircraft leasing and finance; and cutting-edge aviation technology.

The group's mission is to lead the change to provide customers with the most advanced flying services and the very best value, anytime, anywhere around the world. Vista Global'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 Pricing Tech team at Vista Global consists of Business Intelligence Data Science (BIDS) and Pricing Intelligence Engineering (PIE) teams. The data science team (BIDS) is responsible for the core functionality of revenue management and pricing model development across the Vista global organization - Vistajet, XO, RWA, TalonAir etc. The team will be developing predictive and prescriptive models to optimize revenue, fleet utilization, demand models, supply models, dynamic pricing engine, and personalized pricing engine for the two sided marketplace.

What's in it for you - As a Head of Data Science Pricing, you will be seeding a new team to manage pricing for international fleet. In the BIDS organization, you have an unparalleled opportunity to use your team building skills, quantitative skills in statistics, machine learning, operations research, and programming skills in Python and SQL. You will answer high impact open questions for the business team, lead a team to prototype ML algorithms, productize the algorithm in collaboration with the PIE team, design Randomized Control Trial (RCT) and Quasi experimentation to test your hypothesis, and drive business insights through data. You will be collaborating with Product Managers, Engineers, and Product Analysts to solve many complex problems while having a lot of fun. The team is growing exponentially offering ample opportunity to own additional responsibilities and disrupt the private jet aviation space. This is a unique opportunity for you, as a data scientist to join a strong, and high growth company early in its lifecycle and help us define and realize our vision.

Responsibilities

• Lead a team of Pricing data scientists and pricing Data Architects to identify new pricing models that leverages machine learning to increase fleet utilization and optimize revenue.
• Ability to roll up your sleeves to lead as a strong individual contributor as is needed to build forecasting model on demand, supply, and performing model evaluation and testing to improve accuracy and robustness
• Defining, evaluating key metrics for revenue optimization and summarizing the results to be presented to business leaders of various verticals. Lead the Pricing analytics team on building a pricing analytics dashboard that can guide other business stakeholders to make data driven decisions.
• Lead and guide the team towards a scalable MLOps architecture
• Guide the team on how to maintain and update machine learning models to stay ahead of ever changing marketplace dynamics
• Write white papers that can be shared outside on various forums and present to business stakeholders to explain solution to various problem statements
• Work with product managers and engineers to turn prototypes into robust, reliable, scalable solutions.

Qualifications

• Master's degree in a quantitative field like Math, Statistics or Machine Learning
• 2+ Years leading a team of data scientists or data analysts or data architects
• 5+ years experiences of professional industry experience in machine learning (Experience with models and analysis for pricing, targeting and experimentation a plus)
• Deep understanding of machine learning algorithms and statistics
• Proficient in Python and SQL (Proficiency in NoSQL database technologies a plus)
• 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 DataBricks, Sagemaker etc.

We are an E-Verify employer.

For more information, please click on the following links:
E-Verify Participation Poster: English Spanish
E-Verify Right to Work Poster: English Spanish