1.Industry experience of using business and technical skills to design solutions based on the project requirements.
2.Experience delivering multiple ML projects with quantifiable business outcomes.
3.Knowledge of SparkML
4.Experience using ML libraries, such as scikit-learn, caret, mlr, mllib
5.Familiarity with using data visualization tools
6.Experience giving data presentations
7.Experience in programming languages such as Python and/or R
8.Good skills with imperative programming languages such as Java or C/C++
9.Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, & EMR
10.Experience handling terabyte size datasets
11. Track record of diving into data to discover hidden patterns
12. Knowledge and experience of writing and tuning SQL
13. Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization