94811 Requisition #

Stanford Graduate School of Business

Stanford's Graduate School of Business has built a global reputation based on its immersive and innovative management programs. We provide students a transformative leadership experience, pushing the boundaries of knowledge with faculty research, and offering a portfolio of entrepreneurial and non-degree programs that deliver global impact like no other. We are committed to advancing diversity, equity, and inclusion in service of our mission of developing innovative, principled, and insightful leaders who change lives, change organizations, and change the world. We invite you to be part of this mission.


The Data, Analytics and Research Computing (DARC) team (https://www.gsb.stanford.edu/faculty-research/darc) at the Stanford University Graduate School of Business (GSB) seeks a Research Analytics Scientist (RAS), who will draw on a broad set of technological, creative, and problem solving skills in order to facilitate, accelerate, and broaden academic research at the GSB.


We are a specialized research support team that possesses an insatiable curiosity for data, research, and technology. We bring dedication to our work, and a commitment to growth and balance on our team. Expect to work with bright minds on challenging problems, continually evaluate emerging tools, and apply new techniques to solve research problems.  As these technologies and research questions evolve, so will your role.


As a member of the team, you will have the opportunity to work and consult with researchers, faculty, students, and staff in various disciplines on a wide array of technical tasks. Your clients will include GSB faculty who are drawn from a broad spectrum of academic backgrounds, research interests, methodological specialties, and technical backgrounds. As a RAS, you will typically engage multiple faculty clients at a time, and these engagements might last anywhere from a few days to several months. Your role will require you to listen carefully and critically in order to understand the faculty member’s research goals and the obstacles they face in:


  • Formulating concrete technical steps towards their goals
  • Creating new, unique datasets
  • Transforming existing datasets to make them model and analysis ready
  • Analyzing and visualizing their data
  • Understanding and building upon the existing literature


You will then conceive, propose, and deliver innovative solutions to these research challenges.  Examples of such solutions might include:


  • Machine learning algorithms
  • Text feature extraction (OCR, NLP, regex, etc.)
  • Image/Video/Audio processing (Face tracking, Classification, etc.)
  • API programming
  • Custom full-stack applications
  • Automated web scraping
  • Crowdsourcing pipelines


In addition to working with individual faculty, you will be expected to contribute significantly on research and development to continuously improve our research support arsenal, depending on your background and your interests. Examples of such endeavors might include: 


  • Developing exploratory text- and image-based machine learning projects using the unique datasets that we’ve created for faculty projects 
  • Crafting internal and/or external tutorials and training materials on new or complex technical tools
  • Testing the boundaries of the data that can be collected via our crowdsourcing pipeline
  • Understanding field-specific literature or literature associated with potentially useful tools/techniques


Your primary responsibilities include:

  • Design and develop complex and specialized problem-solving approaches; coordinate detailed phases of work related to responsibility for part of a major project or for an entire project of moderate scope.
  • Develop technical and methodological solutions to complex research problems requiring independent analytical thinking and advanced knowledge.
  • Develop creative new or improved technologies, processes, methods, or software important to the advancement of the field.
  • Contribute technical expertise and perform basic research and development in support of programs/projects; act as advisor/consultant in area of specialty.
  • Contribute to portions of published articles or presentations; prepare and write reports; draft and prepare technical documentation.
  • Provide technical direction to faculty members, other research staff, technicians, and/or students, as needed.


To be successful in this position, you will bring: 

  • Bachelor’s degree and three years of relevant experience, or combination of education and relevant experience.
  • Ability to understand research methodology, experimental procedures and their limitations, and current needs of the social science research community.
  • Ability to work both independently and within a team while managing time effectively in a fast-paced environment with unpredictable workflows.
  • Strong written and oral English communication skills.


In addition, preferred requirements include: 

  • Master’s degree or PhD in a quantitative or scientific field and five years of relevant experience, or combination of relevant experiences. 
  • Experience scripting in and performing data management and analysis in at least one of the following languages: Python, R, Matlab, Julia, or Stata on Unix-based systems.
  • Ability to adapt to and learn new tools and technologies as needed on a project-to-project basis
  • Strong understanding of common computational social sciences techniques, such as logistic regression, structural equations, constrained optimization, factor analysis, network graphs, sentiment classification, random forests, and so forth.
  • Experience using regular expressions and natural language programming concepts to extract information from text documents and other poorly structured data sources.
  • Experience with finance and accounting data, such as CRSP, Compustat and SEC filings.
  • Experience with social science data and research, preferably in an academic environment.
  • Experience in crafting, handling, and dealing with the nuances of large, messy datasets without established structures.


Why Stanford is for You

Stanford’s dedicated 16,000 staff come from diverse educational and career backgrounds. We are a collaborative environment that thrives on innovation and continuous improvement. At Stanford, we seek talent committed to excellence, driven to impact the future of our legacy, and improve lives on a global sphere. We provide competitive salaries, excellent health care and retirement plans, and a generous vacation policy, including additional time off during our winter closure. Our generous perks align with what matters to you:

  • Freedom to grow. Take advantage of career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or leader discuss global issues.
  • A caring culture. We understand the importance of your personal and family time and provide you access to wellness programs, child-care resources, parent education and consultation, elder care, and caregiving support.
  • A healthier you. We make wellness a priority by providing access to world-class exercise facilities. Climb our rock wall or participate in one of hundreds of health or fitness classes.
  • Discovery and fun. Visit campus gardens, trails, and museums.
  • Enviable resources. We offer free commuter programs and ridesharing incentives. Enjoy discounts for computers, cell phones, recreation, travel, entertainment, and more!

We pride ourselves in being a culture that encourages and empowers you.


How to Apply

We invite you to apply for this position by clicking on the “Apply for Job” button. To be considered, please submit a cover letter and résumé along with your online application.


* The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.


Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.


Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

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