Data Scientist, RegLab - Stanford Law School

Stanfordlivetickets; Palo Alto (CA); Hybrid; USD 93,000 - 104,000; Full time

Benefits offered by this job

18+ PTO days per year

Health benefits start when you start

Flexible work options

Tuition and training assistance

403(b) plan

Mental health programs

Commuter transportation benefits

Job summary

Stanford Law School's RegLab seeks a Data Scientist for a one-year fixed-term position in Stanford, CA, with a hybrid work arrangement. The role emphasizes machine learning, policy evaluation, and data-driven analysis across public-sector datasets.

The successful candidate will collaborate with a multidisciplinary team, contribute to reports and dashboards, and may receive co-authorship on research papers. A strong quantitative background and programming skills are essential.

Qualifications

• Bachelor's/M.S./Ph.D. in a quantitative field and 3 years of relevant experience or education/experience mix.
• Expert knowledge of programming languages (Python, R, SQL).
• Deep understanding of modern statistical and ML models and evaluation.

Responsibilities

• Collect, manage and clean datasets.
• Analyze and visualize multivariate relationships.
• Develop data reports and statistical models for investigations and publications.

Skills

Strong writing skills

Communication skills

Leadership

Self-motivated

Education

Bachelor's/M.S./Ph.D. in quantitative field

Tools

Python

R

SQL

TensorFlow/PyTorch/Scikit-Learn

Job description

Data Scientist, RegLab - Stanford Law School

Stanford, CA, United States (Hybrid)

Job Description

This is for a ONE-YEAR FIXED TERM position with the opportunity for extension based on performance.

*Budgeted Range: The Law School’s budgeted pay for or this position is: $93,163 - $104,477 per annum.

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, such as: arge legal corpora, administrative records for public programs, LLM traces and benchmarks, health and environmental enforcement data
• 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, LLM evaluation, computer vision, or related fields
• Academically-minded, with experience working in an academic setting

The deadline for the first round is 7:00AM PST on Friday, October 23, 2026. All applications received before this date are guaranteed to be read while there is a spot open. After this date we will still be accepting applications received by December 1, however preference will be given to first round applications.

Applicants with Optional Practical Training (OPT) temporary employment authorization are eligible to apply. Depending on the circumstances, Stanford may sponsor J-1 visas for this position.

Responsibilities

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.

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.

Bachelor's degree or a combination of education and relevant 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.

• Pay Range $93,163-$104,477
• Pay Frequency Annually
• Fixed Term Y
• Stanford Schools and Units Law School
• Full time or Part time Full Time
• Regular or Temporary Regular
• Job Category Information Analytics
• Posting Date 09/30/2026, 03:40 PM
• Grade G
• Job Identification 201247

Benefits that support you, and your future

18+ PTO days per year

Health benefits start when you start

Flexible work options

$6000+ annual tuition and training assistance

403(b) plan

Mental health and wellness programs

Free and discounted commuter transportation

Applies to regular full-time positions.

Notice to Applicants

Notice to Applicants

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 accommodation to any employee with a disability who requires accommodation to perform the essential functions of their job.

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.

Stanford University provides job pay ranges representing its good faith estimate of what the university reasonably expects to pay for a particular job. The specific pay offered to a selected candidate will be determined based on a wide range of factors that are unique to each candidate, including but not limited to geographic work location, relevant knowledge, skills and abilities, relevant education, years of relevant experience, depth and breadth of relevant experience, and performance; further including but not limited to other business and organization needs such as the scope and responsibilities of the position, the minimum qualifications, departmental budget availability, and market and internal equity across the university, school/ unit, department, as well as job reporting relations

Why work at Stanford

World-changing work in a culture of continuous learning

An inspiring community that values collaboration

High-quality health and wellness benefits that put you and your family first

Access to world-class education and career development, with tuition reimbursement, training assistance, and more