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or Master’s degree (preferred) in Data Science, Computer Science, Engineering, and Mathematics, Statistics or any related field Applied experience with statistical modelling (hypothesis testing), machine
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the statistics and scores for each student after evaluation Assist in the administrative work during the audit of the SEP applications Any other administrative support of the SEP selection process Qualifications
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, i.e. STEM background • Comfortable scripting in and performing data analysis in Python or R, and Unix-based systems. • Experience in conducting statistical analysis (regression, analysis of variance
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science, information systems, data science, statistics, mathematics, physics, engineering, operations research, econometrics or others). At least 2 years of hands-on experience developing AI/ML solutions in a corporate
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science, information systems, data science, statistics, mathematics, physics, engineering, operations research, econometrics or others). At least 2 years of hands-on experience developing AI/ML solutions in a corporate
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Masters in Statistics / Mathematics / Mechanical / Electrical / Computer and/or System Engineering. • Some teaching experiences preferred. • Must be passionate in teaching and mentoring students
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Masters in Statistics / Mathematics / Mechanical / Electrical / Computer and/or System Engineering. • Some teaching experiences preferred. • Must be passionate in teaching and mentoring students
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Masters in Statistics / Mathematics / Mechanical / Electrical / Computer and/or System Engineering. • Some teaching experiences preferred. • Must be passionate in teaching and mentoring students
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July 2024. In this recruiting cycle, we are looking for candidates in all areas, including empirical modeling (economics- or computer science- or statistics-based), consumer behavior, and analytical
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operations research, econometrics, statistics, or related field • Evidence of managing research projects • Evidence of ability to conduct high-quality research • Background relayed to Causal inference