Data Scientist, Stanford Law School

ONE-YEAR FIXED TERM POSITION

JOB PURPOSE:

The Deborah L. Rhode Center on the Legal Profession at Stanford Law School is looking for a Data Scientist to work across our research programs. This role will collaborate closely with teams of research fellows and students on projects the civil court system, access to justice, and transparency in state and federal courts. Under the direction of Rhode Center associated faculty and research affiliates, the role manage and analyze data critical to the Center's data-science research agenda focused on expanding access to justice and transparency in U.S. Courts. This position will report to Professor David Engstrom.

CORE DUTIES*:

• In collaboration and under the direction of Rhode Center research team members, lead the Center's ongoing efforts to collect, manage, and structure large datasets from public sources.
• Use cutting-edge natural language processing and machine learning tools to label high volumes of unstructured data and prepare for empirical analysis.
• Conceptualize suitable empirical methodologies and models.
• Develop algorithms to convert PDFs to analyzable data at scale. Conduct statistical analyses of complex datasets and interpretation of results.
• Contribute original writing explaining data sources, analyses, and interpretation.
• Where appropriate, have the opportunity to receive co-authorship on research papers.
• Use reports and analyses to identify conflicting interpretations, make corrections/suggest solutions and determine root cause for data problems.
• Collaborate with faculty and research staff on data collection and analysis methods.
• Provide documentation based on audit and reporting criteria to faculty and research staff.
• Communicate with government officials, grant agencies and industry representatives.

* - Other duties may also be assigned

Education & Experience:

Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline (e.g., computer science, data science, statistics, engineering, mathematics, economics, or a related field).

Knowledge, Skills and Abilities:

• Substantial experience with MS Office and analytical programs.
• Strong writing and analytical skills.
• Ability to prioritize workload.

Programming experience in Python, R, SQL, and/or other languages

• Prior experience working with large datasets on remote servers or cloud services is preferred
• Prior experience working with machine learning, especially involving classifiers, is preferred
• Outstanding academic credentials and intellectual creativity
• Eagerness to take initiative and solve intricate problems
• Excellent time-management skills and ability to work effectively with minimal supervision
• Exceptional research, analytical writing, and communication skills
• Prior research experience and coursework in the empirical social sciences is preferred, but not required

* - 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.

WORK STANDARDS:

• Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
• Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.

The expected pay range for this position is $82,468 to $106,256 per annum (Stanford Region).

The expected pay range for this position is $54,763 to $83,636 per annum (Remote Region).

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. 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 Cardinal at Work website (;/b>) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

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.

The job duties listed are typical examples of work performed by positions in this job classification 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.

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.