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.
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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
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