Job Description
Data Scientist, Business Intelligence
Department: Business Intelligence
Employment Type: Full Time
Location: NAP Operations
Reporting To: Eileen Varghese
Description
Key Responsibilities
- Analyze complex data sets to uncover trends, KPIs, and insights for finance, capital markets, and investment teams.
- Design and implement time-series forecasting models
- Build regression, classification, and survival models
- Develop churn and risk scoring frameworks
- Conduct sensitivity and stress-testing analysis
- Translate complex data into executive-ready insights
- Improve data quality standards and validation frameworks
- Identify opportunities to embed predictive analytics into dashboards
- Identify drivers of property-level performance variability
- Develop portfolio-level heat maps and risk dashboards
- Develop advanced forecasting models foy key KPIs
- Build probabilistic and scenario-based portfolio forecasts
- Conduct Monte Carlo simulations and risk modeling
Skills, Knowledge and Expertise
- A Bachelor’s degree in Computer Science, Business Analytics, Statistics, Data Science, Mathematics, or a related quantitative field
- Strong analytical skills and experience in statistics, modeling, and financial analysis.
- Proficiency in Python (pandas, numpy, scikit-learn, statsmodels)
- Advanced SQL skills
- Experience with time-series forecasting and statistical modeling
- Experience building scenario modeling or simulation frameworks
- Ability to manage and structure large, complex datasets
- Strong written and verbal communication skills
- Ability to manage multiple tasks in a professional, fast-paced environment
- High level of discretion and professionalism when handling sensitive information
