Enterprise Data Scientist I

Extract data from a variety of sources (databases, web, text files) and in a variety of formats (structured, unstructured, JSON, Parquet, etc.) and prepare the data for analysis Describe data using qualitative and quantitative aggregation/summarization and build tools (static reports, interactive dashboards, web applications) that allow clients to easily view and understand important patterns and trends in the data Provide quantitative comparisons of data points using advanced statistical analysis including data reduction techniques (PCA, cluste ring), resampling (permutation tests, Monte Carlo testing) as well as traditional statistical hypothesis testing Construct and validate predictive models using a variety of techniques

High school diploma or equivalent required. Bachelor's degree preferred. Master's degree in scientific or quantitative field and d ocumented academic excellence PhD in scientific field highly preferred.

Proficiency in at least one of the following is absolutely required: R, Python Basic proficiency in at least one of the following: PowerBI, Tableau, QlikView, D3.js Basic proficiency in SQL Able to implement and utilize advanced statistical and machine learning techniques (GLMs, PCA, cluster analyses, ARIMA, ETS, decision trees, SVM, neural networks, ensemble methods, etc.) Basic familiarity with project management tools (Asana, Basecamp, LiquidPlanner)