Research Data Analyst

at  Stanford University

The Hoover Institution at Stanford University is seeking qualified candidates for the full-time position of a Research Data Analyst.
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Requisition#: 105065
Position #: 00088510

EDUCATION & EXPERIENCE:

Bachelor’s degree or a combination of education and relevant experience. Experience in quantitative disciplines such as economics, finance, statistics or engineering. Master’s in economics as well as substantial training in applied mathematics and computer science strongly preferred.

KNOWLEDGE, SKILLS, AND ABILITIES:

• Substantial experience with MS Office and analytical programs (e.g. Julia, Python, Matlab, LaTeX, C++, Fortran, Linux and Git.)
• Strong writing and analytical skills.
• Ability to prioritize workload.

DESIRED/PREFERRED KNOWLEDGE, SKILLS, AND ABILITIES:

• Strong background in Quantitative Methods and Social Analysis
• Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL
• Familiarity with machine learning, information theory and signal processing.
• Experience with algorithm development

PHYSICAL REQUIREMENTS:

• Constantly perform desk-based computer tasks.
• Frequently sit, grasp lightly/fine manipulation.
• Occasionally stand/walk, use a telephone.
• Rarely writing by hand, lift/carry/push/pull objects that weigh up to 10 pounds.

JOB PURPOSE:

Assist Hoover Institution Senior Fellow on working on the adaptive Epsilon Distinguishable Set (EDS) project, with the aim to greatly reduce the computational difficulties to approximate functions and solve complicated economic models. Applications include computing confidence sets for likelihood inference and solving dynamic programming problems. The EDS project will require ability to design and implement efficient optimization algorithms based on mathematical theory of scattered data interpolation.

CORE DUTIES:

• Collect, manage and clean datasets.
• Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
• Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
• Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
• Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
• Analyze data processes in documentation.
• Collaborate with faculty and research staff on data collection and analysis methods.
• Provide documentation based on audit and reporting criteria to investigators and research staff.
• Communicate with government officials, grant agencies and industry representatives.