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

JPMorganChase

New York, USonsite$114k-$170k/yrPosted Jul 24, 2026
Posting intelligenceActively listedReposted 2×, possible evergreen/ghost posting

Skills

python

About the role

JOB DESCRIPTION

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 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

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

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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.

Compensation

This Data Scientist role pays $114k-$170k/yr. Within typical range for data scientist roles in United States.

Questions about this role

Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

Compensation for Data Scientist roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Data Scientist hub for United States medians across recent openings.

Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, Personio, Teamtailor and other major ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.