Data Scientist/ Sr. Data Scientist

National Grid (https:\\


  full-time   employee

New York
New York
United States

Do you want to change the world? We do. Did you know that there is no industry that touches more of humanity than Energy? In fact, Energy builds societies. Are you passionate about Clean Energy and empowering humanity in an intelligent and sustainable fashion? Then you think like us. Do you have the skills, intellect, creativity and drive to transform, not just a company, but an industry through Big Data and Advanced Analytics? Then come join us as we transform the energy industry. We are the Advanced Data & Analytics team at National Grid and we are looking for world-class talent to join us on our mission.
As a (Sr./Lead/Principal) Data Scientist at National Grid, you will define and build market models, test new products and services, mine big Data to better understand customers and their energy habits, be the catalyst of process reengineering through advanced analytics. If you are passionate about Advanced Analytics and you would like to use that passion in the creation of the next generation energy company, then becoming a National Grid Data Scientist is for you. You will work in a dynamic organization to turn Data into intelligence and transform the company into a 21st century enterprise. The variety and complexity of challenges you will solve is second to none, but most important is the real world impact your work will have on the lives of millions of people.
About the Position:
The National Grid Data Science teams provide insights and conclusions from multiple sources of information in a variety of different formats using analysis techniques that range from the simple to the advanced. An ability to work cross functionally and on Agile teams is critical and you should have a broad based knowledge of:
Statistical & Probabilistic Analyses
Data Engineering
Programming/Software Development
Effective Visualization and Presentation
Holistic Problem Engineering
Position Responsibilities (including but not limited to):
Identify, extract, and integrate Data sets ranging in size from spreadsheets to big Data
Discover the best methods of integrating Data from several different sources and formats for use in 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
Explore new Data sources and determine how best to use the Data in advanced analyses
Be intellectually curious and enjoy learning
Communicate and liaise between the Technical, Process, and Business Teams to ensure solutions and conclusions are based on real Data
Drive groundbreaking change in moving the company to a Data-driven decision making business
Knowledge & Experience Required:
Required Skills:
1-5+ years of experience as a Data Scientist.
Master?s degree in a quantitative discipline (Engineering, Sciences, Economics, Finance, Computer Science) preferred.
Can describe machine learning tools and techniques (supervised and un-supervised) to a non-technical audience
Fluent in:
Python and/or R
Can query, clean, and merge datasets from various sources
Strong Statistical and Mathematical background is required:
Math (e.g., linear algebra, calculus, and probability)
Statistics (e.g., hypothesis testing, descriptive statistics, etc.)
Experimental Design experience
Demonstrated ability to communicate and interact with business and technical competencies without supervision
Demonstrated ability to translate extremely technical knowledge into business terms
Demonstrated ability to design and build communication tools that can ?tell the story? in a manner that relates to:
Business Value
How to use findings and conclusions
Experience leading projects and/or teams
Demonstrated ability to utilize Data Mining techniques to segment/classify customers, predict likelihood of product adoption, and profile customer base from not only an algorithmic standpoint, but a conclusion and insight drawing perspective, from tools and Data that do not lend themselves to algorithmic solutions is required
Experimental Design experience
Ability to learn multiple programming languages/database engines in addition to those required above for the purposes of analyzing and using Data; not software development.
Ability to learn geospatial analysis
Preferred Skills:
Working experience in a utility/energy industry
Active github repository and stackoverflow account
Data science competition entries (kaggle, kdnuggets, etc.)
Big Data framework, e.g.:
Strong Business Analytics background:
Cost Benefit Analysis
PhD degree in a quantitative discipline.
Note: Additional years of relevant work experience, education and preferred skills will qualify candidates for Senior, Lead or Principal Data Scientist opportunities within our organization structure.
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 is an equal opportunity employer that values a broad diversity of talent, knowledge, experience and expertise.We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve.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.

:BOC & Advanced Analytics
Primary Location
Other Locations
:BOC & Advanced Analytics
Job Posting
:Mar 1, 2018, 4:11:00 PM
Unposting Date


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