Data Scientist, RegLab, Stanford Law School

This is for a one-year fixed-term position with the opportunity for extension based on performance.

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

At Stanford, every employee plays a part in our mission for a better tomorrow-from researchers to operations and from food services to educators. Join our team to work towards a future you believe in.

The job duties listed are typical examples of work performed by positions in this job classifications 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 accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a help ticket.

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. See Admin Guide 1.7.4: Equal Employment Opportunity, Non-Discrimination, and Affirmative Action Policy; Know Your Rights: Workplace Discrimination is Illegal.

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.

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.