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DATA SCIENTIST
Ref No.: 17-03231
Location: Dublin, Ohio
Position Type:Contract
Start Date: 08/07/2017
 Job title :              Data Scientist.
Job location :      SFO,CA
Job duration :    Long Term
 
 
Description :
Minimum Education/Skills:
·         Bachelor's Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience
·         Job-related experience, 8 years, OR Master's Degree and job-related experience, 6 years, OR Doctorate Degree and job-related experience, 3 years
·         Experience in data modeling, 5yrs
 
Desired Education / Skills:
·         PhD in engineering or a related field (computer science, natural sciences, mathematics)
·         Experience with Python, R, Scala, SQL
·         Experience developing solutions with Pandas/Scikit-learn, Spark or comparable technologies
·         Experience data science notebooks (Jupyter, Zeppelin or other)
·         Experience with AWS, Azure, cloud computing technologies
·         Scrum team experience
·         Energy industry experience
·         Experience designing efficient data science workflows and database architecture for data science purposes
·         Experience with forecasting, Bayesian networks, and graph analytics
·         Strong statistics experience
  • Experience with software development methodologies and software engineering principles
  • Knowledge of program management theories, concepts, methods, best practices, and techniques as needed to perform at the job level
  • Knowledge of relevant programming languages - for example Visual Basic, Ladder Logic,
  • Programmable Logic Controller, C, SharePoint, HTML, Java, Adobe – as needed to perform at the job level
  • Competency in knowing the most effective and efficient processes to get things done, with a focus on continuous improvement
  • Knowledge of principles, techniques, and procedures used for production and design of technology based equipment and systems as needed to perform at the job level
  • Knowledge of statistical theories, concepts, methods, best practices, and analyses as needed to perform at the job level
  • Ability to develop reports, models, and simulations as needed to perform at the job level
  • Competency in developing and delivering multi-mode communications that convey a clear
  • understanding of the unique needs of different audiences
  • Knowledge of data model design philosophies and methodologies for data warehouse and OLTP systems