Data Scientist Intern supporting analytics and predictive modeling for member growth and market strategy. Collaborating with data scientists and analysts to enhance location intelligence and insights.
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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