Data Scientist

at  Yale University

REQUIRED EDUCATION AND EXPERIENCE

Master’s Degree in computer science, applied/computational mathematics, engineering, biostatistics, statistics, or a quantitative field such as astronomy or geology, economics, health policy, health services research, public policy, or a related field and two years of demonstrated experience or an equivalent combination of education and demonstrated experience.

REQUIRED SKILL/ABILITY 1:

Demonstrated expertise working with Linux, Python, and Java.

REQUIRED SKILL/ABILITY 2:

Ability to work with large structured and unstructured datasets, and GPU-accelerated computing. Proven experience with Large Language Models.

REQUIRED SKILL/ABILITY 3:

Sound background in theoretical and applied machine learning/deep learning with applications to either language, signals, or images.

REQUIRED SKILL/ABILITY 4:

Demonstrated strong ability to communicate technical ideas and results to non-technical customers in written and verbal formats.

REQUIRED SKILL/ABILITY 5:

Strong organizational, time management, and leadership skills. Ability and willingness to work in a highly collaborative team environment and matrixed organization.

PREFERRED EDUCATION, EXPERIENCE AND SKILLS:

Master’s degree in computer science, applied/computational mathematics, engineering, biostatistics, statistics, and hands-on demonstrated experience in deep learning or a PhD in any of the previously mentioned fields.

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.

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.

Develop and execute new and/or highly complex algorithms and statistical predictive models and determine analytical approaches and modeling techniques to evaluate potential future outcomes. Establish analytical rigor and statistical methods to analyze large amount of data, using advanced statistical techniques and mathematical analyses. Manage analytical projects from data exploration, model building, performance evaluation, through implementation. Develop work plans and monitor progress and project timelines. Document coding and changes to work plans using established work group methods in GitHub. Interact with a multidisciplinary team of internal and external peers to regularly, effectively, and openly communicate progress and outcomes of planned work. Attend weekly team meetings to discuss team and project-related activities, issues, change, communications, and updates.