? Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Time Series Analysis etc.

? Skill full at processing, cleansing, and verifying the integrity of data used for analysis

? Good applied statistics skills, such as distributions, statistical testing, regression, etc.

? Experience with common data science libraries, such as Pandas, Scikit-learn, Tensor Flow,  etc (excellence in at least two of these is highly desirable)

? Experience with data visualization tools, such as tableau,matplotlib,plotly,D3.js etc

? Platform Experience preferred Azure & AWS.

Good-to-Have 

? Experience working on Energy Systems & Energy Data

? Experience with Agile/SAFe required

? Experience with NoSQL databases, such as MongoDB or Elastic Search

? Experience with python web frameworks such as Django or Flask etc 

? IoT domain or Energy Domain