Work on ambiguous, high-impact problems at the intersection of real estate markets, investment behavior, and socio-economic forces
Build analytical and AI-driven PoCs that explore new ways to assess market conditions, risk, and opportunity
Apply econometric and statistical techniques beyond basic regression, including time-series, panel data, probabilistic, and clustering methods
Experiment with machine learning, generative AI, and agentic AI to augment research, analysis, and decision-making
Use platforms such as Databricks to explore and model complex datasets in an analytical environment
Translate quantitative work into clear insights and implications for senior advisors and leadership

Hold a Master’s degree in Data Science, Mathematics, Econometrics, Statistics, Economics, Engineering, or a closely related quantitative field
Have 1–3 years of experience in consulting, investment finance, or CRE advisory/research
Enjoy problem-solving and experimentation more than maintaining production pipelines
Are comfortable moving between theory and application
Have strong proficiency in Python for data analysis and modeling
Have solid foundation in statistical modeling and quantitative reasoning
Are intellectually curious, structured in your thinking, and comfortable working in uncertain problem spaces.

Data Scientist

Key skills