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Data Scientist

National Grid

Job description

About the Position:

Analyze data and activities to provide relevant and up to date information, insight, and/or tools to support decision-making and the effective working of National Grid. Enable a cultural change towards Data Driven decision-making through the use and implementation of analytical tools.

“Data Scientist: Person who is better at statistics than any software engineer and better at software engineering than any statistician.”

Position Responsibilities (including but not limited to):

The Data Scientist is responsible for working to provide data driven solutions and conclusions from several different sources of information in a variety of different formats; using analysis techniques that range from the simple to the advanced. The incumbent is expected to have a broad based knowledge of Statistical & Probabilistic Analyses, Data Engineering, and Programming/Software Development. Holistic Problem Engineering Skill Set, Superior Communication Skills, Industry Knowledge, and a Natural Motivation and Curiosity to Learn are a prerequisite. Incumbents should be prepared to work in a highly multi-tasked environment with rapidly changing business priorities. Abilities to work cross functionally and in an Agile Team Setting are a must.

The Incumbent will be expected to:

  • Work with extremely large data sets, i.e. “Big Data”.
  • Determine the best methods of integrating data from several different sources and formats for use in Advanced Data Analyses.
  • Employ sophisticated analytics programs, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling.
  • Prepare and clean data for use in advanced analysis.
  • Learn new data sources and determine how best to use the data in advanced analyses.
  • Holistically engineer the business problem to be solved by working with both Business, Process, and Technical Resources.
  • Devise data driven solutions to problems that have been engineered and work to execute on those solutions.
  • Communicate and liaise between the Technical, Process, and Business Teams to ensure the proper use of Data Drive Solutions and Conclusions.
  • Communication Skills

o A willingness to be proactive in sharing thoughts and opinions.

o Capacity to communicate technically and in laymen’s terms.

o Comfortable interacting with all levels of the organization.

  • Ability to learn and use multiple data models quickly.
  • Ability to integrate data models and use analytic environments from a data modeling standpoint.
  • Experimental Design.
  • Understanding of Data Mining and Machine Learning Techniques.
  • Ability to learn multiple programming languages/Database Engines for the purposes of analyzing and using data; not software development.
    • R
    • SQL
    • Python
    • Ruby
    • Oracle
    • SQL Server
  • Machine learning tools and techniques (e.g. k-nearest neighbors, random forests, ensemble methods, etc.).
  • Software engineering skills (e.g. distributed computing, algorithms and data structures).
  • Data visualization (e.g. ggplot and d3.js) and reporting techniques.
  • Unstructured data techniques.
  • Ability to Learn Geo-Spatial Analysis and Presentation Skills.
    • ESRI Skill Set.
  • Ability to set up a sound Measurement System.
  • Statistical and Mathematical background.
    • Math (e.g. linear algebra, calculus and probability).
    • Statistics (e.g. hypothesis testing and summary statistics).
  • Business Analytics
    • NPV, DCF.
    • Cost Benefit Analysis.
    • Experimental Design.
  • Ability to utilize Data Mining Techniques to segment/classify customers, predict likelihood of product adoption, and profile Customer base from not only an an algorithmic standpoint, but a conclusion and insight drawing perspective, from tools and data that do not lend themselves to algorithmic solutions.

Knowledge & Experience Required:

  • Master’s degree in a quantitative discipline (Engineering, Sciences, Economics, Finance, Computer Science or equivalent) is strongly preferred, with a background in computer programming and/or a minimum of 3-5 years experience in advanced modeling desired. Additional preference would be given to a candidate with a PhD degree in a quantitative discipline. Exceptional candidates considered with Bachelor’s degree or Master’s degree in progress.
  • Expert within their field. Extensive and significant knowledge of one field of work or broad technical depth in multiple, related fields sufficient to lead programs or projects.
  • Knowledge of relevant industry practice and legislation. Knowledge of current trends within the industry and developments in legislation or regulation.
  • Proficient in relevant software. Ability to program in R, Python, SQL, etc. for modeling purposes.
  • Knowledge of industry operations and practices, with the ability to discuss concepts and value propositions.
  • Knowledge of National Grid’s policies and processes and how to apply them effectively.
  • Experience of managing project teams and projects independently.
  • Experience in strategic value of analytical tools in driving process/performance excellence.

This position is one of National Grid’s career path roles which provide for promotional opportunities within and across salary bands as you develop and evolve in the position by gaining experience, expertise and acquiring and applying technical skills.

National Grid value a broad diversity of talent, knowledge, experience and expertise. We foster a culture of National Grid is proud to be an affirmative action employer. We encourage minorities, women, individuals with disabilities and protected veterans to join the National Grid team.

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