Senior Data Scientist, Real Estate Analytics & Strategy

Testing Site - JPMC; New York (NY); On-site; USD 110,000 - 170,000; Full time

Job summary

JPMorganChase is seeking a Senior Associate, Data Scientist within Global Real Estate Design & Construction to design, deploy, and scale analytics solutions for real estate and project delivery questions. You will collaborate with cross-functional teams to improve capital planning, workplace experience, and risk-managed insights.

You will assemble data across proprietary and industry sources, use advanced statistical methods, and communicate findings through compelling data storytelling.

Qualifications

• Requires a Master’s degree or PhD in a quantitative discipline with coursework or projects in machine learning and data analysis.
• 3+ years of related data science experience.
• Proficiency in SAS, Python, and R.
• Able to navigate relational databases.
• Strong statistical techniques, predictive modeling, time series forecasting, and text mining.

Responsibilities

• Convert data into actionable insights and communicate outcomes with clear visualizations.
• Develop advanced analytics using predictive modeling, text mining, forecasting, optimization, and simulation.

Skills

Data science experience

Statistical modeling

Data storytelling

Stakeholder communication

Experiment design

Education

Master's or PhD in quantitative field

Tools

SAS

Python

R

Job description

JPMorganChase is seeking a Senior Associate, Data Scientist within Global Real Estate Design & Construction to design, deploy, and scale analytics solutions for real estate and project delivery questions. You will collaborate with cross-functional teams to improve capital planning, workplace experience, and risk-managed insights.

You will assemble data across proprietary and industry sources, use advanced statistical methods, and communicate findings through compelling data storytelling.