Qualifications Bachelors Degree in a quantitative discipline math statistics economics computer science physics engineering data science etc. 3-5 years of related work experience as a data scientist predictive analyst statistician or quantitative analyst.. Excellent understanding of machine learning techniques and algorithms such as Regression SVM Random Forest Clustering AutoML etc. Experience with common data science tools such as NumPy Scikit-Learn Tensorflow Dash/Streamlit/Gradio etc. Hands-on experience in distributed computing and big data. Hands-on experience in pySpark ML production experience Docker Kubernetes gRPC REST APIs past experience modeling machine log data for predictive maintenance a plus. Experience and comfort working with on-premises systems. Excellence in applying academic and scientific rigor to the business environment. Demonstrated ability to autonomously problem-solve by self-educating and initiating collaboration with colleagues to leverage their knowledge for the greater good Candidate must be proactive accountable and a good communicator. Strong Collaborator – We value good listeners skilled and proactive communicators and professionals who are eager to share their knowledge with teammates. Takes Ownership – We thrive on strong decision-making and produce work we can take pride in. Master of your own
Location: Claremont, CA
Posted: Aug. 14, 2024, 2:42 a.m.
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