Lead Data Scientist

Elevate Jet • Dallas, TX

45d

About The Position

We are seeking a highly skilled Lead Data Scientist to lead efforts in analyzing market demand and dynamic pricing across the private jet charter ecosystem. This role plays a pivotal part in shaping our pricing algorithms, demand forecasts, and sourcing strategies that directly power our charter broker platform.

Requirements

• Master's or PhD in Data Science, Statistics, Computer Science, or related field.
• 8+ years of experience in applied data science, ideally in travel, mobility, logistics, or dynamic marketplace environments.
• Strong proficiency in Python, SQL, and analytical libraries (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch).
• Experience designing and deploying pricing or forecasting models in production environments.
• Excellent understanding of time-series analysis, demand elasticity modeling, and revenue optimization.
• Proven ability to communicate complex models in clear, business-relevant terms.

Nice To Haves

• Familiarity with aviation or charter scheduling data is a strong plus.

Responsibilities

• Develop and maintain pricing models that reflect real-time supply, demand, and market conditions.
• Analyze historical booking patterns, aircraft availability, and operational costs to optimize instant-book pricing logic.
• Collaborate with product managers, engineers, and revenue teams to design data-driven pricing features and dashboards.
• Use machine learning, statistical modeling, and predictive analytics to forecast user demand and route popularity.
• Automate data collection pipelines sourcing from internal systems, aviation APIs, and third-party data providers.
• Design A/B tests and performance metrics to evaluate the success of pricing and recommendation models.
• Translate scientific insights into actionable strategies that improve conversion rates, margin, and user satisfaction.
• Build customer segmentation models to enable personalized experiences and targeted marketing
• Track and report on key performance metrics including conversion rates, average booking value, and customer lifetime value

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Merchant Wholesalers, Durable Goods