Senior Associate, Data Scientist - Global Real Estate Design & Construction - JPMorganChase

Join our Global Real Estate (GRE) Design & Construction (D&C) team and help shape the future of workplace insights at JPMorganChase. You'll be part of a fast-paced, collaborative organization where your ideas drive innovation and measurable impact. You'll gain exposure to high-visibility projects across the firm while building strong stakeholder partnerships. This role offers opportunities to grow your data science capabilities and expand your influence across a global organization.

Job summary

As a Senior Associate, Data Scientist within Global Real Estate Design & Construction , you will design, deploy, and scale analytics solutions that turn complex real estate and project delivery questions into trusted, actionable insights. You will partner with cross-functional teams to improve project delivery, capital planning, and workplace experience. You will apply statistical modeling and experimentation to solve ambiguous problems using diverse datasets. You will communicate findings clearly through compelling data storytelling and visualization. You will help drive decisions by delivering insights that are practical, measurable, and aligned to risk management practices.

You will work across proprietary and industry-standard tools and data sources to assemble, organize, and analyze information at scale. You will contribute to a culture of continuous improvement by researching new measurement approaches and analytics methods. You will be expected to manage priorities effectively and deliver high-quality outcomes under tight timelines. You will collaborate with partners across job functions, adapting your message to audiences with different levels of technical expertise.

Job responsibilities

• Convert data into actionable insights and communicate outcomes through clear visualizations and storytelling
• Build advanced analytics using methods such as predictive modeling, text mining, forecasting, optimization, and simulation
• Apply data analysis techniques to develop recommendations and present insights to management
• Use statistical and mathematical techniques to solve complex, unstructured business problems across varied datasets
• Develop statistical models and design controlled experiments to test ideas and validate hypotheses
• Research, develop, and implement new methods to measure and analyze datasets and processes
• Assemble, organize, and analyze data using a range of proprietary, industry-standard, and open-source data stores and tools
• Make decisions aligned to risk management practices and policies in the best interest of the firm

Required qualifications, capabilities, and skills

• Master's degree or PhD in a quantitative discipline such as Statistics, Physics, Economics, Applied Math, Computer Science, Operations Research, or Computational Sciences, including coursework/projects in machine learning and data analysis