Senior Associate, Data Scientist – Global Real Estate Design & Construction

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.

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
• Three or more years of related experience in data science roles
• Intermediate knowledge of statistical software packages including SAS, Python, and R
• Ability to navigate relational databases effectively
• Praactical knowledge of advanced statistical techniques, predictive modeling, time series forecasting, and text mining
• Ability to explain complex concepts in digestible terms for audiences with varying levels of expertise
• Intermediate knowledge of machine learning and strong data storytelling capabilities
• Proactive and results-driven approach with a proven track record of execution
• Ability to influence stakeholders at all levels across a broad range of job functions
• Ability to prioritize projects and efforts based on business need and industry trends
• Sound judgment and integrity, with demonstrated commitment to compliance with regulatory obligations

Preferred qualifications, capabilities, and skills

• Industry experience in real estate, architecture, construction, or engineering

About the team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.