Hybrid Senior Applied Data Science Engineer

at Signature Aviation

• Job title: Senior Applied Data Science Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, Cloud, Numpy, Pandas, Python, PyTorch, Scikit-Learn, SQL, Tensorflow
• Location requirements: Hybrid, Orlando, United States

About the role

• Senior Applied Data Science Engineer designing and deploying predictive models and analytics systems at Signature Aviation. Collaborates with engineering and product teams to optimize operations and improve customer experiences.

Responsibilities

• Develop and deploy predictive models supporting revenue forecasting, demand prediction, and operational planning
• Support dynamic pricing initiatives through machine learning models and pricing optimization algorithms
• Design and implement ramp capacity and operational optimization models to improve resource planning and throughput
• Develop data enrichment pipelines that enhance CRM, crew, and operational datasets with predictive insights
• Support enterprise AI platforms through the development of features, embeddings, and model inputs for LLM and RAG-based applications
• Design and implement experimentation frameworks to evaluate model performance and measure business impact
• Build and maintain scalable data pipelines supporting machine learning and analytics workloads
• Integrate predictive analytics and machine learning outputs into enterprise systems and operational workflows
• Maintain strong data governance, quality, and documentation standards across data science assets

Requirements

• 5–8+ years of experience in data science, machine learning, or applied analytics roles
• Demonstrated experience deploying machine learning models into production environments
• Strong foundation in statistics, experimentation design, and predictive modeling
• Experience working with cross-functional teams to translate business problems into data science solutions
• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related quantitative field (advanced degree preferred)
• Strong programming skills in Python and SQL
• Experience with data science libraries such as Pandas, NumPy, and scikit-learn
• Experience with deep learning frameworks such as PyTorch or TensorFlow
• Familiarity with vector search, embeddings, and modern retrieval architectures
• Experience with cloud data platforms such as Azure, Snowflake, or Databricks
• Experience with ML lifecycle and experimentation tools such as MLflow
• Familiarity with pricing optimization models, demand forecasting, or revenue intelligence systems
• Experience evaluating or supporting LLM-based systems and AI applications
• Experience in aviation, logistics, transportation, or other operational analytics environments preferred

Benefits

• Medical/prescription drug, dental, and vision Insurance
• Health Savings Account
• Flexible Spending Accounts
• Life Insurance
• Disability Insurance
• 401(k)
• Critical Illness, Hospital Indemnity and Accident Insurance
• Identity Theft and Legal Services
• Paid time off
• Paid Maternity Leave
• Tuition reimbursement
• Training and Development
• Employee Assistance Program (EAP) & Perks