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

JPMorgan Chase & Co. • New York, NY

3d

About The Position

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.

Requirements

• 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

Nice To Haves

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

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

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees