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.
About the role
- 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.
Responsibilities
- Support advanced analytics and predictive modeling that informs member growth, market potential, and branch network strategy.
- Apply statistical, machine learning, and spatial analytics techniques to large enterprise datasets to identify patterns, forecast demand, and generate actionable insights for strategic planning.
- Work closely with principal data scientists and geospatial analysts to develop models and analytical frameworks that enhance location intelligence, behavioral analytics, member insights, and market opportunity assessment.
- Develop and evaluate predictive models to estimate member growth, market potential, and branch demand.
- Apply statistical and machine learning techniques to identify drivers of member acquisition and engagement, member and market behavior, and value of a market.
- Support model validation, performance assessment, and documentation.
- Analyze member demographic, behavioral, and geographic data to generate market insights.
- Contribute to market sizing, segmentation, and opportunity analyses.
- Support development of demand and growth forecasting methodologies.
Requirements
- Currently pursuing a graduate degree (MS or PhD) in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related quantitative field
- Strong foundation in statistics, probability, and predictive modeling
- Proficiency in Python or R for data analysis and modeling
- Experience working with large datasets using SQL or similar tools
- Demonstrated ability to structure and analyze complex, real-world data problems
- Strong analytical reasoning and problem-solving skills
- Ability to communicate technical concepts clearly
- Curiosity, initiative, and ability to learn quickly in an applied business environment
- **Desired:**
- Experience with machine learning or predictive modeling projects
- Experience with spatial, geographic, or demographic data
- Familiarity with ETL processes and data preparation workflows
- Experience with Alteryx and/or ArcGIS
- Experience with feature engineering and model evaluation techniques
- Experience with Databricks, Spark, or cloud data environments
- Interest in applied analytics for market strategy, location intelligence, or growth analytics
Benefits
- Health insurance
- 401(k) matching
- Flexible working hours
- Paid time off
- Professional development opportunities
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