Data Science Consultant in Charlotte, NC at Pyramid Consulting, Inc

Date Posted: 1/14/2020

Job Snapshot

Job Description

Immediate need for a talented Data Science Consultant with experience in the Utility Industry.
This is a 12+ Months Contract opportunity with long-term potential and is located in Charlotte, NC. Please review the job description below.
 
Job ID: 20-01872

Key Responsibilities:
  • Graduation from a four-year college or university with a degree in statistics, physics, mathematics, engineering, computer science, or management of information systems.
  • 2-5 years of experience in data mining, statistical modeling and programming.
  • Proficient in high-level programming languages such as SQL server and/or Oracle for accessing and analyzing data.
  • Proficient in Power BI application for modeling and reporting
  • Ability to bridge the gap between data science and business management.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Master degree in statistics, economics, finance, physics, mathematics, engineering, computer science, or management of information systems.
  • Predictive Modeling in SAS
  • Exceptional organizational skills and is detail oriented.
  • Understanding of and ability to use programming languages for predictive analytics modeling, like Python, R or SAS.
Key Requirements and Technology Experience:
  • Strong critical thinking skills and the ability to relate them to the products or services the company is producing.
  • Knowledge of electricity and natural gas utility business model and operations.
  • Basic knowledge of Linux command line interface.
  • Basic knowledge of Hadoop ecosystem, including tools for data mining and analytics, including Sqoop, Hive, Pig, Spark and/or Scala.
  • Experience with SAP HANA for predictive analytics.
  • Mastery of statistics, machine learning, algorithms and advanced mathematics.
  • Strong knowledge of basic and advanced prediction models.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Data mining knowledge that spans a range of disciplines.
  • Strong exploratory analysis skills.
Our client is a leading Utility Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. 

 J2W:CB3

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