About Us:
The Stanford Graduate School of Education (GSE) is dedicated to solving education's greatest challenges. Through rigorous research, model training programs and partnerships with educators worldwide, we're pursuing equitable, accessible and effective learning for all. The GSE is a top-ranked school of education, known for its prestigious faculty, rigorous graduate degree programs, and its impact on the quality of education across the world. The GSE is committed to developing leaders in education research, practice and policy. Our community includes over 60 faculty, 400 students, 230 staff, 14,000 alumni and countless individuals from the local and global communities that we work with and impact.
The SCALE initiative of the Stanford Accelerator for Learning, housed at Stanford Graduate School of Education is seeking a Senior Research Data Analyst to work on our team. The SCALE initiative works to equalize and improve educational opportunities for students by supporting implementation of the most promising educational practices. This position will provide data analysis support for several fast-paced research projects within the SCALE Initiative, including A.I. Benchmarks for Math Tutoring.
This position is a 1-year fixed term appointment based on Stanford University’s main campus. Consideration will be given to a hybrid work schedule (partially onsite and offsite work), subject to operational need. Interested candidates should include a resume and cover letter describing why they are interested in this position at this stage in their career.
What You’ll Do:
The Senior Research Data Analyst, working with the Director of Research, faculty lead and senior research associate(s), will manage and analyze large-scale, social science data using machine learning approaches, including natural language processing. The Senior Research Data Analyst must have a demonstrated ability to support a community of diverse perspectives and cultures in an inclusive environment.
Core duties will include:
- Lead, develop, maintain, test, analyze, and evaluate data management systems for multiple, large-scale social science research projects.
- Perform data analysis and modeling using machine learning techniques including natural language processing.
- Assemble large, complex sets of data that meet research functions and cross-functional team requirements.
- Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
- Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Google Cloud, Python and SQL technologies for relational database management systems.
- Serve as a resource for non-routine inquiries such as requests for statistics or surveys.
- Participate in project planning and strategic thinking for overall growth and direction of research teams’ projects and activities.
What You’ll Bring:
Education & Experience:
Bachelor's degree and five years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.
Knowledge, Skills, and Abilities:
- Ability to direct the work of others, for jobs requiring supervision.
- Relevant subject matter knowledge.
- Substantial experience with MS Office and analytical programs.
- Excellent writing and analytical skills.
- Ability to prioritize workload.
Desired Qualifications:
- Excellent analytic skills associated with working on unstructured datasets.
- Ability to build, implement, and troubleshoot processes to optimize data transformation, management, data structures, and metadata.
- Substantial experience with programs such as Python, STATA and/or R.
- Graduate or undergraduate degree in information systems, informatics, statistics, computer science, data engineering/science or another quantitative field.
- Experience in social science, namely education/education policy, producing and managing large-scale, multifaceted academic research.
- Experience working in social science research, including leveraging data for policy and for producing academic research.
Work Standards:
