±Ù¹«Áö : Àü³²¿©¼ö ±Û·Î¹ú Á¤À¯È¸»ç 

Á¶°Ç : 1³â fixed °è¾àÁ÷(±â°£ ¿¬Àå°¡´É)

ó¿ì : max 1.5¾ï

relocation Áö¿ø : È£ÅÚ ¼÷¼Ò, ​allowance 


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