673 data-science "https:" "https:" "https:" "Princeton" positions at Northeastern University
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Applied Data Science Postdoctoral Fellowship program. Under this program, postdoctoral trainees will be co-mentored by NU and JAX researchers working on priorities identified by both organizations
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Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University’s Experiential AI Institute, will support the development and delivery of AI and data science solutions across
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Degree in a relevant subject area (e.g., computer science, data science, mathematics, statistics, information technology, or related field); 3+ years of experience with querying databases, SQL, and
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Qualifications Bachelor’s Degree in a relevant subject area (e.g., computer science, data science, mathematics, statistics, information technology, or related field); 3+ years of experience with querying
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as an exhaustive list of all responsibilities, duties and skills required of personnel so classified . Job Summary The Senior Data Architect is responsible for architecting Northeastern University’s
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classes and advanced degree programs. A full description of available benefits can be found on the NU website . MINIMUM QUALIFICATIONS Required Bachelor’s or Master’s degree in Data science, Computer
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-year fixed term position, continuation and renewal are contingent on performance and availability of funding. MINIMUM QUALIFICATIONS Education & Experience Required Master’s degree in Data Science
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pursuing an advanced degree program related to data science or data analytics preferred. A minimum of three years of relevant professional experience in an academic or business environment. Position Type
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periods of operational need. Minimum Qualifications Bachelor’s degree in Information Systems, Computer Science, Business, Human Resources, Data Analytics, or a related field required. 3–5 years of
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pipeline operations. Bachelor’s degree in Computer Science, Information Technology, Data Management, or a related field; technical certifications in relevant areas (e.g., Informatica, cloud data platforms