Details
Posted: 27-Jan-24
Location: New Haven, Connecticut
Type: Full-time
Salary: Open
Internal Number: 86301BR
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.
Required Skill/ability 1: Expertise working with Linux, Python, and Java.
Required Skill/ability 2: Ability to work with large structured and unstructured datasets, and GPU-accelerated computing. 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.
Preferred Education: Experience in leading conference publications, particularly in the deep learning field. Strong background in data analysis with a diverse set of platforms, such as Python and/or R. Knowledge of advanced analytic approaches, including signal processing, image analysis, supervised and unsupervised machine learning.
Work Week: Standard (M-F equal number of hours per day)
Posting Position Title: Data Scientist 1
University Job Title: Data Scientist
Preferred Education, Experience and Skills: Experience in leading conference publications, particularly in the deep learning field. Strong background in data analysis with a diverse set of platforms, such as Python and/or R. Knowledge of advanced analytic approaches, including signal processing, image analysis, supervised and unsupervised machine learning.
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 experience or an equivalent combination of education and experience.
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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.
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