We’re looking for Data Scientist & Analytics with 2-5 years of experience in manipulating data sets and building statistical models, has a Bachelor's or Master’s in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Tree text mining, etc.
Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Good to Have:
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Identifying and translating business problems to data science problems.
Selecting features, building and optimizing machine learning algorithms that impact the business
End to end model deployment working closely with engineering teams.
Monitoring model performance and creating alerts for any data leakage