MUST
2+ years of professional experience building predictive and descriptive statistical models as a data scientist.
2+ of experience as a business/product/data analyst (or a data scientist working on the business or product side of the company).
Bachelor’s degree in Statistics, Mathematics, Computer Science or another quantitative field.
Strong knowledge of Python/R and SQL to manipulate data and draw insights from large data sets.
Experience in leading a data science problem from ideation to production.
Experience in statistical and data mining techniques (such as GLM, Regression, Boosting, Random Forest, Trees, Clustering, PCA, SVM, etc).
Experience building production ready data pipelines and automation workflows to take results from research to actionable & scalable on-lin
A drive to learn and master new technologies.
Exceptional analytical and problem solving skills.
A PLUS
Master’s degree in quantitative field.
Experience solving product and business problems in a B2B SaaS company.
Experience with BI tools.
