At least 8 years of experience working with geographically distributed teams
2+ years of experience working in a client-facing role on AI/ML problems
Demonstrable experience in leading a substantive area of work, or line management of a team.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, NLP, etc.
Experience in using distributed version control software (e.g., git)
Strong experience using a variety of data mining/data analysis methods
Experience creating and using ML algorithms/statistics: simulation, scenario analysis, modeling, clustering, decision trees, NN, GLM/Regression, RF/XGB, text mining, social network analysis, etc.
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Should have worked with at least 1 production deployment for ML models using ML-Ops or otherwise
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, histograms, statistical tests, etc.) and experience with business applications.
Must have developed custom data models and algorithms to apply to data sets.
Knowledge of reporting/analytic techniques and tools like Tableau and/or Power BI.
