Principal Data Scientist (Estero, FL)

About the Role

Key Responsibilities

• Work to design, develop, and implement data-driven solutions in network planning, scheduling, or revenue management domains (including forecast, machine learning, AI, choice-modeling, optimization solutions, anomaly detection and more).
• Foster employee engagement in the development of a revenue management system while serving as a proactive change agent.
• Champion projects with cross-functional teams, including product managers, data engineers, customers, and stakeholders, to define business requirements and deliver data-driven solutions.
• Develop and maintain effective data models, algorithms, dashboards, and reports that provide actionable insights and support business strategies.
• Develop high-quality analytics applications, visualizations, statistics, and machine learning solutions that deliver value to our customers.
• Communicate findings and recommendations in a clear and concise manner to a non-technical audience, including airline executives, managers, and analysts.
• Stay up to date with industry trends and best practices in business intelligence, forecasting, optimization, data visualization, revenue management, and airline network planning/scheduling to drive innovation and enhance the company's competitive advantage.

Requirements

• Bachelor's degree in a quantitative field (e.g., Engineering, Economics, Mathematics, Statistics) or equivalent work experience.
• Minimum 5 years in analytical roles such as Data Scientist, Data Engineer, or Data Analyst.
• Proficient in SQL and Python (5+ years).
• Strong foundation in statistical analysis and data modeling.
• Advanced analytical capabilities with experience handling complex datasets.
• Familiarity with orchestration tools, version control systems, and cloud architecture patterns.
• Proficiency in data visualization tools (e.g., Tableau, Power BI).
• Excellent communication and presentation skills; able to explain technical concepts to non-technical audiences.
• Strong problem-solving abilities and attention to detail.
• Demonstrated ability to work independently and collaboratively in fast-paced, deadline-driven environments.

Nice to Have

• Preferred background in the travel industry, especially airline revenue management, scheduling, or network planning.
• Experience in hospitality or car rental sectors is a plus.
• Experience leading project teams or managing people is preferred.
• Change management experience is a plus.

Qualifications

• Bachelor's degree in a quantitative field or equivalent work experience.
• Minimum 5 years of experience in analytical roles such as Data Scientist, Data Engineer, or Data Analyst.

Benefits & Perks

• Attractive remuneration packages, including salary, bonus, equity, and benefits.
• Flexible working model allowing employees to work wherever and however it works best for them.
• Opportunities to learn through on-the-job training, formal learning activities, and day-to-day interactions.
• Supportive and caring work environment that fosters personal and professional growth.