Senior Associate, Data Scientist – Global Real Estate Design & Construction
JPMorganChase, New York, NY, United States
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 visualisations and storytelling
Build advanced analytics using methods such as predictive modelling, text mining, forecasting, optimisation, 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 analyse datasets and processes
Assemble, organise, and analyse 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 modelling, 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 prioritise projects and efforts based on business need and industry trends
Sound judgement and integrity, with demonstrated commitment to compliance with regulatory obligations
Preferred Qualifications, Capabilities, and Skills
Industry experience in real estate, architecture, construction, or engineering
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 programmes to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centres, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more.
Equal Employment Opportunity
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. 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, colour, 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. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
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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 visualisations and storytelling
Build advanced analytics using methods such as predictive modelling, text mining, forecasting, optimisation, 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 analyse datasets and processes
Assemble, organise, and analyse 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 modelling, 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 prioritise projects and efforts based on business need and industry trends
Sound judgement and integrity, with demonstrated commitment to compliance with regulatory obligations
Preferred Qualifications, Capabilities, and Skills
Industry experience in real estate, architecture, construction, or engineering
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 programmes to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centres, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more.
Equal Employment Opportunity
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. 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, colour, 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. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
#J-18808-Ljbffr