Harvard University
Postdoctoral Fellow - Customer Intelligence Lab - Digital, Data, Design Institut
Harvard University, Boston, Massachusetts, us, 02298
School: Harvard Business SchoolDepartment/Area:Position Description:The Digital, Data, and Design (D^3) Institute at Harvard is accepting applications for multiple postdoctoral fellows for the academic year 2025-2026 to work on research activities at our research labs. D^3 conducts research at the intersection of academia and practice. For more information on D^3, please visit
https://d3.harvard.edu/labs .The Postdoctoral Fellows will work under the direct supervision of faculty Principal Investigators and the Senior Director of Labs. They will work closely with the lab manager and research associate(s) at each lab. D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no teaching requirements for these open positions.The Customer Intelligence Lab, led by Professors Ayelet Israeli and Eva Ascarza, is seeking a Postdoctoral Fellow. The goal of the Customer Intelligence Lab is to leverage customer data to improve outcomes for firms, consumers, and society at large.The postdoctoral fellow will apply and develop methodologies to questions of interest in marketing and economics. A typical empirical project involves refining a research question, designing an experiment or survey, analyzing historical and experimental data, and writing targeted at peer-reviewed management science journals.The ideal candidate will have:Familiarity with methodological foundations, for example: statistics and econometrics, causal inference, machine learning methods, experimental design, modeling of unstructured data, non-parametric Bayesian methods, scalable inference, statistical computation, and visualization.Interest in applying advanced data analysis to improve research, marketing practice, and policy-making.Programming/scripting knowledge suitable for processing raw data for analysis (e.g., R, Python, Julia).One or more computational environments for statistical analysis (e.g., R, Stata).Experience writing papers for management science journals.Basic Qualifications:A Ph.D. involving empirical social sciences or programming (e.g., computer science, economics, marketing, machine learning, statistics, applied mathematics, or related fields).Strong team player with excellent communication skills.Additional Qualifications:Special Instructions:Applications will be accepted until the positions are filled. Please apply here via the Harvard system. Please do not contact lab faculty; if you have any questions, please contact
d3@harvard.edu .All applications must include the following:Link to Github account and/or any software developed.Copy of academic records (official records are acceptable).2-page research statement describing prior research experience and future research plans.Two representative publications (preprints are acceptable).Two letters of recommendation.Candidates may be asked to undergo an assessment as part of the interview process.Additional Information:These are term positions starting summer 2025 (start date flexible) through June 30, 2026, with the possibility of renewal based on funding and performance. Relocation funding not provided.This role is offered as a hybrid (some combination of onsite and remote) where you are required to be onsite at our Boston, MA based campus. Specific days and schedule will be determined between you and your manager.Please note that we will be conducting interviews virtually (phone and/or Zoom) for selected candidates.Culture of Inclusion:
The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore HBS work culture at
https://www.hbs.edu/employment/ .Commitment to Equity, Diversity, Inclusion, and Belonging:
Harvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive.EEO Statement:
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.Contact Information:Contact Email:Minimum Number of References Required: 2Maximum Number of References Allowed: 4
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https://d3.harvard.edu/labs .The Postdoctoral Fellows will work under the direct supervision of faculty Principal Investigators and the Senior Director of Labs. They will work closely with the lab manager and research associate(s) at each lab. D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no teaching requirements for these open positions.The Customer Intelligence Lab, led by Professors Ayelet Israeli and Eva Ascarza, is seeking a Postdoctoral Fellow. The goal of the Customer Intelligence Lab is to leverage customer data to improve outcomes for firms, consumers, and society at large.The postdoctoral fellow will apply and develop methodologies to questions of interest in marketing and economics. A typical empirical project involves refining a research question, designing an experiment or survey, analyzing historical and experimental data, and writing targeted at peer-reviewed management science journals.The ideal candidate will have:Familiarity with methodological foundations, for example: statistics and econometrics, causal inference, machine learning methods, experimental design, modeling of unstructured data, non-parametric Bayesian methods, scalable inference, statistical computation, and visualization.Interest in applying advanced data analysis to improve research, marketing practice, and policy-making.Programming/scripting knowledge suitable for processing raw data for analysis (e.g., R, Python, Julia).One or more computational environments for statistical analysis (e.g., R, Stata).Experience writing papers for management science journals.Basic Qualifications:A Ph.D. involving empirical social sciences or programming (e.g., computer science, economics, marketing, machine learning, statistics, applied mathematics, or related fields).Strong team player with excellent communication skills.Additional Qualifications:Special Instructions:Applications will be accepted until the positions are filled. Please apply here via the Harvard system. Please do not contact lab faculty; if you have any questions, please contact
d3@harvard.edu .All applications must include the following:Link to Github account and/or any software developed.Copy of academic records (official records are acceptable).2-page research statement describing prior research experience and future research plans.Two representative publications (preprints are acceptable).Two letters of recommendation.Candidates may be asked to undergo an assessment as part of the interview process.Additional Information:These are term positions starting summer 2025 (start date flexible) through June 30, 2026, with the possibility of renewal based on funding and performance. Relocation funding not provided.This role is offered as a hybrid (some combination of onsite and remote) where you are required to be onsite at our Boston, MA based campus. Specific days and schedule will be determined between you and your manager.Please note that we will be conducting interviews virtually (phone and/or Zoom) for selected candidates.Culture of Inclusion:
The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore HBS work culture at
https://www.hbs.edu/employment/ .Commitment to Equity, Diversity, Inclusion, and Belonging:
Harvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive.EEO Statement:
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.Contact Information:Contact Email:Minimum Number of References Required: 2Maximum Number of References Allowed: 4
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