Bachelor’s degree in Information Systems, or Computer Science, Engineering, Applied Math or equivalent work experience. Master’s preferred
Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, NLP text mining and LLM.
Experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn
Technical proficiency in SQL, Databrick, Tableau, and Qliksense
Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
Can-do attitude, hands-on approach, passionate about data