Data Scientist, RegLab — ML & Policy (Hybrid)

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

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.