Job Description

1.  Extract huge volumes of data from multiple internal and external sources. 2.  Conduct undirected research and frame open-ended industry questions. 3.  Employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling. 4.  Thoroughly clean and prune data to discard irrelevant information. 5.  Explore and examine data from a variety of angles to determine hidden weaknesses, trends and/or opportunities. 6.  Devise data-driven solutions to the most pressing challenges. 7.  Invent new algorithms to solve problems and build new tools to automate work. 8.  Communicate predictions and findings to management and IT departments through effective data visualizations and reports. 9.  Utilize real-time data streams to generate predictive and prognostic analytical outputs.



Required Skill/ability 1: Applied experience working in data science, computer engineering, or related profession(s). Strong technical skills and problem-solving abilities related to research data management, database design, and data analysis.



Required Skill/ability 2: Familiarity with identifying the needs of researchers and providing individualized services and guidance that meet those needs.



Required Skill/ability 3: Project-based experience with parsing, cleaning, and extracting entities from text-based data using a combination of natural language processing methods, machine-learning algorithms, and/or large language models.



Required Skill/ability 4: Proficiency in R and/or Python programming languages and SQL. Working knowledge of HTML, JavaScript, and web design to facilitate entity extraction from web-based sources and the creation of data-based web applications.



Required Skill/ability 5: Version control software (e.g., Git and GitHub). Demonstrated interpersonal and teamwork skills complemented by the ability to take initiative. Excellent oral and written communication skills.



Preferred Education: Advanced degree (M.A./M.S. or Ph.D.) in computer/data science or applied social science. Familiar with social scientific research methods. Experienced in legal information, American legal system, Stata, econometric research, and sensitive data. Skilled in developing/delivering curriculum. Proficient in virtual machines and cloud-based environments (e.g., Azure, AWS).



Work Week: Standard (M-F equal number of hours per day)



Posting Position Title: Data Scientist



University Job Title: Legal Data Scientist, Lillian Goldman Law Library



Preferred Education, Experience and Skills: Advanced degree (M.A./M.S. or Ph.D.) in computer/data science or applied social science. Familiar with social scientific research methods. Experienced in legal information, American legal system, Stata, econometric research, and sensitive data. Skilled in developing/delivering curriculum. Proficient in virtual machines and cloud-based environments (e.g., Azure, AWS).

Bachelors' degree in computer science, mathematics or a related subject and six years of experience, or an equivalent combination of education and experience.

About Yale University

Yale University is an American private Ivy League research university located in New Haven, Connecticut. Founded in 1701 in the Colony of Connecticut, the university is the third-oldest institution of higher education in the United States.

Connections working at Yale University

Job Tags

Remote job,

Similar Jobs