TECHNICAL ASSOCIATE, FSAS, MIT Sloan FSAS, will help create an extensive ETL [Extract, Transform, Load] pipeline to process numerous datasets. The individual will identify and vet data sources; develop pipelines to robustly extract, process, load, and validate data; develop data products such as violation risk scores and product classification; and performing and write up research on these data products. Data sources are in multiple languages and include both structured and unstructured data. Working as part of the Data Science subgroup, the Technical Associate I will collaborate closely with interdisciplinary teams to ensure data quality, consistency, and usability across the project. The role will also involve conducting exploratory analyses, supporting model development, and contributing to written research outputs, including technical documentation and reports. This position offers an opportunity to contribute to high-impact research at the intersection of data science, food safety, and public health, while gaining experience with complex, real-world datasets and advanced analytical methodologies.
A full job description is available at https://web.mit.edu/sloan-hr/jobs/TechnicalAssociateIFSAS.pdf
| Location | Cambridge, MA |
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