Data Scientist

Location
Connecticut, United States
Posted
12 Sep 2019
End of advertisement period
12 Nov 2019
Ref
57989BR
Contract Type
Fixed Term
Hours
Full Time

University Job Title: Statistician Entry
Bargaining Unit: None - Not included in the union (Yale Union Group)
Time Type: Full time
Duration Type: Fixed
If Fixed Duration, Period: 11 months from date of hire
If Fixed Duration, is continuation possible? No
Other Fixed Duration Date: 31-Jul-2020
Compensation Grade: Administration & Operations
Compensation Grade Profile: Associate (21)
Work Location: Central Campus
Worksite Address: 205 Prospect Street New Haven, CT 06511
Work Week: Standard (M-F equal number of hours per day)
Searchable Job Family: Communications/Editing/Teaching, Computing and Information Systems, Research/Support
Total # of hours to be worked: 32

Position Focus:

Computer programming, data management and web development support for the Yale Program on Climate Change Communication, the Environmental Data science initiative at FES and the Paleo Fire project. Analysis and management of large datasets. Academic training is a requirement for Fulbright approval and is integrated in this position.

Essential Duties

1. Performs a variety of duties involving the application of statistical skills to the design of research studies. Works as a member of a research team/study team to provide appropriate statistical input in the design, execution and analysis of studies. 2. Participates in the development of operations and procedures for the collection, editing, verification and management of statistical data. 3. Operates one or more systems of computer hardware and statistical analysis software for the management and analysis of data. Evaluates the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy. 4. Analyzes and interprets statistical data to identify significant differences in relationships among sources of information. 5. Processes large amounts of data for statistical modeling and graphic analysis, using computers. 6. Investigates, evaluates and prepares reports on applicability, efficiency, and accuracy of statistical methods used in obtaining and evaluation data. 7. Participates in the preparation of written and oral presentations that summarize the analysis of data, interprets the finding and provides conclusions and recommendations. 8. May perform other duties as assigned.

Required Education and Experience

Master's degree in Statistics, Biostatistics, Epidemiology or related field or an equivalent combination of education and experience.

Required Skill/Ability 1:

R programming, Python, ArcGIS.

Required Skill/Ability 2:

Spatial data analysis, remote sensing, Google Earth engine.

Required Skill/Ability 3:

Data science skills, e.g. machine learning, digital data management.

Required Skill/Ability 4:

Ability to work on team development platforms (e.g. versioning with GitHub).

Required Skill/Ability 5:

Experience with DEMs and hydrologic modeling.

Preferred Education, Experience and Skills:

MEM

Weekend Hours Required? No
Evening Hours Required? No
Drug Screen: No
Health Screening: No

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. Please visit www.yale.edu/hronline/careers/screening/faqs.html for additional information on the background check requirements and process.

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.

Affirmative Action Statement:

Yale University considers applicants for employment without regard to, and does not discriminate on the basis of, an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Yale discriminate on the basis of sexual orientation or gender identity or expression. Title IX of the Education Amendments of 1972 protects people from sex discrimination in educational programs and activities at institutions that receive federal financial assistance. Questions regarding Title IX may be referred to the University’s Title IX Coordinator, at TitleIX@yale.edu, or to the U.S. Department of Education, Office for Civil Rights, 8th Floor, Five Post Office Square, Boston MA 02109-3921. Telephone: 617.289.0111, Fax: 617.289.0150, TDD: 800.877.8339, or Email: ocr.boston@ed.gov.