Mandatory Competencies:
● Bachelor’s statistics, mathematics, or engineering
● Experience using statistical computer languages such as R, Python, SQL, etc.
● Experience manipulating data sets and building statistical models.
● Experience in statistical and data mining techniques, including generalized linear model/regression, random forest, boosting, trees, text mining, social network analysis
● Knowledge of machine learning techniques such as clustering, decision tree learning, and artificial neural networks
● Knowledge of advanced statistical techniques and concepts, including regression, properties of distributions, and statistical tests
● Strong problem solving and logical skills. & a go-getter kind of attitude with a willingness to learn new technologies.
Preferred Skills:
● Master’s in Data Science, Data Analytics & Business Analytics
● Experience working with and creating data architectures
● Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
● Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, etc.
● Experience visualizing/presenting data using Tableau, Power BI, etc.
● Good understanding of code versioning tools, such as Git
● Good understanding of product development life cycle