REQUIRED EDUCATION AND EXPERIENCE

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

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, 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).

BACKGROUND CHECK REQUIREMENTS

All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit “Learn about background checks” under the Applicant Support Resources section of Careers on the It’s Your Yale website.

HEALTH REQUIREMENTS

Certain positions have associated health requirements based on specific job responsibilities. These may include vaccinations, tests, or examinations, as required by law, regulation, or university policy.

POSTING DISCLAIMER

The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the particular position. Employees will be assigned specific job-related duties through their hiring departments.

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.