Senior Associate, Data Scientist - Global Real Estate Design & Construction
JPMorgan Chase, New York, NY, United States
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.
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
Practical 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
Base Pay / Salary
New York,NY $114,000.00 - $170,000.00 / year
We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.
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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
Practical 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
Base Pay / Salary
New York,NY $114,000.00 - $170,000.00 / year
We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.
#J-18808-Ljbffr