This is for a one-year fixed-term position with the opportunity for extension based on performance.
*NOTE:
The expected pay range for this position at the Law School is $73,490-$100,000 per annum/hour. Stanford University provides pay ranges representing its good faith estimate of the salary the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package.
The Regulation, Evaluation, and Governance Lab (RegLab) at Stanford University is looking for a full-time Data Scientist to provide analytical expertise across our research programs.
About Us:
Stanford RegLab
builds the evidence base and technology for effective government. Our interdisciplinary team of engineers, data scientists, social scientists, and legal experts partners with agencies at every level—from federal departments to states, counties, and cities—bringing frontier AI, machine learning, and causal inference to the public sector. RegLab’s work has prompted an overhaul of tax auditing, mapped racial covenants across millions of records, and enabled streamlining of statutes and regulations.
You will:
Work closely with the Faculty Director, Research Directors, Senior Data Scientists, and teams of fellows and students to drive forward a diverse research program focused on 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 (15cm/pixel), and the largest publicly available corpus of legal text
Develop and devise state-of-the-art machine learning models, algorithms, and statistical models, while leading the collection of new data and the refinement of existing data sources.
Devise methods for identifying data patterns, trends in available information sources using a variety of qualitative and quantitative techniques. Determine and recommend additional data collection and reporting requirements. Lead the implementation of data standards and common data elements for data collection.
Work with self-initiated direction to assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information. Write and distribute reports
based on data analysis
to applicable agencies, researchers, or other internal end-users.
Serve as a resource for non-routine inquiries such as requests for statistics or surveys.
Have the opportunity to
receive co-authorship on research papers
Preferred Qualifications
A bachelor's degree, or MS or Ph.D., in a relevant quantitative field (e.g., data science, computer science, statistics, engineering, mathematics, economics, or a related field) and three years of (a) relevant professional experience or (b) combination of education and relevant professional experience
Expert knowledge of programming languages
(such as Python, R, and/or SQL)
A deep understanding of modern statistical and machine learning models, when to apply them, and how to evaluate their performance
Excellent written and verbal communication skills
and a focus on achieving results
Ability to work effectively with multiple internal and external customers, and ability to take a leadership role on projects and with users/clients.
Self-guided, self-learner, and engaged in the mission of the Lab
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:
We invite you to apply by clicking on the "Apply Now" button found on the Stanford Careers website. To be considered, please submit the following items along with your online application:
Cover letter
CV or resume
Project and code samples or Github
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.
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.