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Required Technical Skill Set** Python (Python 3.7 and above) & it's libraries (pandas, numpy, scipy, sklearn, flask, matplotlib, seaborn, plotly etc.,). 


Desired Competencies (Technical/Behavioral Competency)
Must-Have**(Ideally should not be more than 3-5) 
• 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