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    Data Engineer - Boston, United States - Northeastern University

    Northeastern University
    Northeastern University Boston, United States

    1 week ago

    Default job background
    Full time
    Description

    The College of Social Sciences and Humanities is a leader in the Experiential Liberal Arts. The College is strongly committed to fostering excellence through diversity and enthusiastically welcomes applications from members of groups underrepresented in higher education administration.



    The College's schools, departments, and programs—with disciplines ranging from economics and history to English, urban affairs and international affairs, form an interdisciplinary group of scholars with global perspectives and a culture of inclusion. Our expert faculty connects liberal arts education with the challenges of our time, fostering ethical reasoning and critical thought, with attention to the enduring significance of history, literature, and culture. Strategic Areas of Focus for the college's education and research throughout its global network are (1) Resilience, Sustainability, Health, and Equity, (2) Cultural Transformations, Governance, and Globalization, and (3) Network Science, Computational Social Science, Digital Humanities, and Information Ethics.

    CSSH has long been committed to creating a culture of inclusion for our students, faculty, and staff. Diversity and inclusion, as well as questions of race, racism, and anti-racism, are part of all our programs, all our research centers, our three areas of strategic focus—and are always work in progress. At the same time, we focus on how modes of constructing social hierarchies, including race, gender, sexuality, class, caste, and others, intersect with one another.

    The Internet Democracy Initiative is devoted to understanding the role that the internet does and could play in supporting democracy. We are looking for a Data Engineer and/or Data Scientist who can work with complex data, focused, but not exclusively, on working with data from the National Internet Observatory ), a large, NSF-funded project. The Data Engineer/Scientist provides expert support and guidance for data-intensive research activities within a comprehensive digital scholarship program that supports a range of computational social science projects across campus.

    Responsibilities:

    The Internet Democracy Initiative is devoted to understanding the role that the internet does and could play in supporting democracy. We are looking for a Data Engineer and/or Data Scientist who can work with complex data, focused, but not exclusively, on working with data from the National Internet Observatory ), a large, NSF-funded project. The Data Engineer/Scientist provides expert support and guidance for data-intensive research activities within a comprehensive digital scholarship program that supports a range of computational social science projects across campus.

    Qualifications:


    • We will consider a range of experience levels for these positions, but demonstrated ability and competence is a must.

    • Knowledge and skills required for this position are typically acquired through the completion of a Bachelor's degree; Master's or PhD degree in statistics, data or information science, information design, computer science, various quantitative social sciences, or other relevant discipline preferred.

    • Previous experience working in a data-intensive environment, preferably in a research setting. Knowledge of some (not all) of the following is required: Python (numpy, scipy, pandas, sklearn, etc.) and/or R; developing ETL workflows/data engineering pipelines; MongoDB and Spark; relevant statistical inferential methods.

    • Experience working with databases, data management systems, and APIs.

    • Excellent analytical and problem-solving skills and the ability to formulate options, develop and recommend solutions as part of a participatory set of work practices.

    • Excellent oral and written skills and ability to prepare project documentation.

    • Experience with developing and leading workshops and individual consultations desirable.

    • Ability to work with HTML data, web scraping, and parsing scraped data a plus.


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