Vacancy expired!
- Demonstrates curiosity during ad hoc analysis and projects. Focused on accuracy of results. Executes against set objectives while actively seeking additional guidance.
- Conducts univariate and multivariate testing, linear regression, and can execute unsupervised learning and data reduction with supervision. May use K-means, PCA, or Factor Analysis. Experience with Decision Trees.
- Wrangle and analyze data from raw to provide repeatable and accurate conclusions.
- Works with the Data Science Leadership team to provide actionable insights to specific business questions.
- Executes analytical Experiments methodically to help solve identified problems or questions.
- Bachelor's degree in a related field or the equivalent through a combination of education and related work experience.
- Intermediate (practical application) Decision Trees
- Advanced (applied theory) Understanding of experimental design
- Intermediate (practical application) Can execute unsupervised learning and data reduction with supervision (e.g. K-means, Principal Component Analysis (PCA), Factor Analysis)
- Intermediate (practical application) Linear Regression
- Intermediate (practical application) Univariate and multivariate testing
- Intermediate (practical application) Relational Database Management System (RDBMS)
- Intermediate (practical application) Python or R
- Advanced (applied theory) Spreadsheet tools (e.g. Excel)
- Advanced (applied theory) Experience using SQL in a business environment
Vacancy expired!