Supporting the build-out of an enterprise data catalog — profiling datasets, documenting business definitions, and labelling data so it is usable by both people and AI models.
Engineering and testing features that improve the accuracy of machine learning and AI models across Finance, Service, and Supply Chain use cases.
Designing and testing prompts for AI agents such as Claude Cowork — evaluating response quality and identifying failure cases.
The essential requirements of the job include
Currently pursuing a bachelor’s degree in Data Science, Statistics, Math, Computer Science, Computer Information Systems or other relevant quantitative fields
Experience with two or more of the following data science tools in your repertoire: SQL, SAS, R, Python, SPSS, data mining, etc.
Experience with relational databases and SQL preferred.
It would be a plus if you also possess previous experience in
Familiarity with vector databases or semantic search concepts
Experience with data catalog or data governance tools (e.g. Collibra, Atlan)
Experience with Microsoft Azure tools
The hourly range for this role is $30 USD / Hour. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.
Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.
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