Data Scientist

Based in Stanford, CA (onsite), Stanford RegLab seeks a full-time Data Scientist for a one-year fixed-term appointment (with potential extension) to provide analytical expertise across research programs, focusing on machine learning and policy evaluation.

Responsibilities

• Collaborate with the Faculty Director, Research Directors, Senior Data Scientists, and teams of fellows and students to advance a diverse research program in machine learning and policy evaluation
• Design, implement, and interpret the results of new experiments and studies
• Work with large untapped data sets, including health and environmental enforcement data, mass adjudication records, high-resolution satellite imagery (15 cm per pixel), and the largest publicly available corpus of legal text
• Develop and apply state-of-the-art machine learning models, algorithms, and statistical methods, while leading data collection and refining existing data sources
• Devise methods to identify data patterns and trends using qualitative and quantitative techniques; determine additional data collection and reporting requirements; lead the implementation of data standards and common data elements
• Take initiative to assess and produce relevant information (reports, charts, graphs, and tables) from structured data by querying data repositories
• Write and distribute reports based on data analysis to applicable agencies, researchers, or internal end users
• Serve as a resource for non-routine inquiries such as requests for statistics or surveys
• Opportunity to receive co-authorship on research papers

Requirements

• Bachelor's degree or a combination of education and relevant experience
• Experience in a quantitative discipline such as economics, finance, statistics or engineering
• Substantial experience with MS Office and analytical programs
• Strong writing and analytical skills
• Ability to prioritize workload
• Expert knowledge of programming languages such as Python, R, and/or SQL

Technologies

• Python
• R
• SQL
• TensorFlow
• TF
• PyTorch
• Scikit Learn
• MS Office
• GitHub

Core duties

• Collect, manage and clean datasets
• Employ tools to interpret, analyze, and visualize multivariate relationships in data
• Create databases and reports, develop algorithms and statistical models, and perform appropriate statistical analyses
• Use system reports and analyses to identify data issues, make corrections, and determine root causes from input errors or inadequate edits; propose solutions
• Develop reports, charts, graphs and tables for investigators, publication, and presentations
• 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

Minimum Education

• Bachelor's degree or a combination of education and relevant experience

Minimum Experience

• Experience in a quantitative discipline such as economics, finance, statistics or engineering

Knowledge, Skills and Abilities

• Substantial experience with MS Office and analytical programs
• Strong writing and analytical skills
• Ability to prioritize workload

NICE TO HAVES

• Specialization in machine learning frameworks (TensorFlow, TF, PyTorch, Scikit Learn, etc.), NLP, computer vision, or related fields
• Academically minded, with experience working in an academic setting

Application Instructions

• Cover letter
• CV or resume
• Project and code samples or Github