Senior Data Scientist, RegLab, Stanford Law School

Information Analytics
88037 Requisition #
Thanks for your interest in the Senior Data Scientist, RegLab, Stanford Law School position. Unfortunately this position has been closed but you can search our 1,000 open jobs by clicking here.


  • A bachelor's degree (MS or Ph.D. preferred) in a scientific or analytic field (e.g., data science, computer science, statistics, engineering, mathematics, economics, or a related field) and five 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) and ability to research, evaluate, architect, and deploy new tools and frameworks
  • A deep understanding of modern statistical and machine learning models, when to apply them, and how to evaluate their performance
  • Knowledge of key data structures algorithms, and techniques pertinent to systems that support high volume, velocity, or variety datasets (including data mining, machine learning, NLP, data retrieval).
  • Experience with relational, NoSQL, or NewSQL database systems and data modeling, structured and unstructured.
  • Experience in parallel and distributed data processing techniques and platforms (MPI, Map/Reduce, Batch).
  • Experience in scripting languages and experience in debugging them, experience with high performance/systems languages and techniques.
  • Knowledge of benchmark software development and programmable fields/systems, ability to analyze systems and data pipelines and propose solutions that leverage emerging technologies.
  • Ability to use and integrate security controls for web applications, mobile platforms, and backend systems.
  • Experience deploying reliable data systems and data quality management.
  • Ability to research, evaluate, architect, and deploy new tools, frameworks, and patterns to build scalable Big Data platforms.
  • Ability to document use cases, solutions and recommendations.
  • Demonstrated excellence in written and verbal communication skills.
  • 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


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 the job.



Application Instructions: We invite you to apply by clicking on the "Apply for Job" button found on the cardinal careers website found here. To be considered, please submit the following items along with your online application:


  • CV
  • Project and code samples or Github


Stanford is an equal employment opportunity and affirmative action employer.

Stanford Law School seeks to hire the best talent and to promote a safe and secure environment for all members of the university community and its property. To that end, new staff hires must successfully pass a background check prior to starting work at Stanford University.

My Submissions

Track your opportunities.

My Submissions

Similar Listings

School of Law, Stanford, California, United States

📁 Information Analytics

School of Law, Stanford, California, United States

📁 Information Analytics

Global Impact
We believe in having a global impact

Climate and Sustainability

Stanford's deep commitment to sustainability practices has earned us a Platinum rating and inspired a new school aimed at tackling climate change.

Medical Innovations

Stanford's Innovative Medicines Accelerator is currently focused entirely on helping faculty generate and test new medicines that can slow the spread of COVID-19.


From Google and PayPal to Netflix and Snapchat, Stanford has housed some of the most celebrated innovations in Silicon Valley.

Advancing Education

Through rigorous research, model training programs and partnerships with educators worldwide, Stanford is pursuing equitable, accessible and effective learning for all.

Working Here
We believe you matter as much as the work

Group Dance Class In A Gym
Nora Cata Portrait

I love that Stanford is supportive of learning, and as an education institution, that pursuit of knowledge extends to staff members through professional development, wellness, financial planning and staff affinity groups.

Nora Cata

School of Engineering

Students Working With A Robot Arm
Philip Cheng Portrait

I get to apply my real-world experiences in a setting that welcomes diversity in thinking and offers support in applying new methods. In my short time at Stanford, I've been able to streamline processes that provide better and faster information to our students.

Phillip Cheng

Office of the Vice Provost for Student Affairs

Students Working With A Robot Arm
Denisha Clark Portrait

Besides its contributions to science, health, and medicine, Stanford is also the home of pioneers across disciplines. Joining Stanford has been a great way to contribute to our society by supporting emerging leaders.

Denisha Clark

School of Medicine

Students Working With A Robot Arm
Laura Lind Portrait

I like working in a place where ideas matter. Working at Stanford means being part of a vibrant, international culture in addition to getting to do meaningful work.

Laura Lind

Office of the President and Provost

Getting Started
We believe that you can love your job

Join Stanford in shaping a better tomorrow for your community, humanity and the planet we call home.

  • 4.4 Review Ratings
  • 86% Recommend to a Friend
  • 88% Approve of President

View All Jobs