SAS Data Scientist

UNIDIA LLC in Houston, TX

  • Industry: Information Technology - Data Architect/Analyst/Administrator
  • Type: Full Time
  • Compensation: $97,370.00 - 168,410.00 / Year*
position filled
SAS is seeking a full time Data Scientist to work with a large energy customer in the Houston TX area. The candidate will serve to augment an existing team that is using SAS for analytic applications such as load forecasting. The data scientist will support the growing analytical needs of the company as data collection efforts expand and use cases are identified. The primary duties of the position will include enhancing and optimizing current analytical techniques through business unit collaboration, development, and deployment of higher order analytical techniques (and software) necessary to extract additional value from company-held data (data at rest as well as streaming) and assist with broadening the analytical knowledge base of the company. Analysis performed by the position will be shared within the company to support the various initiatives underway that have an analytical need which will ultimately impact the company s generation assets, load resources, customer view, and product and services offered to the customer. DUTIES and RESPONSIBILITIES Develop, manage, and deploy analytical solutionstools that enable business units to unlock additional value from company-held data. Be a champion for the company s analytics efforts both inside and outside of the organization, promoting collaboration and communication through business unit driven use cases whilst building the company s brand in the analytics space. Represent the company on various industry forums such as UAI, EPRI, EEI, etc., and assist with developing and maintaining the internal POV on internal as well as external analytical capabilities from a build or buy perspective. Be a thought-leader at the company for analytic issues and assist with developing and guiding citizen data scientists throughout various business units. QUALIFICATIONS ESSENTIAL B.S.B.A. degree in economics, mathematics , statistics, computer science, finance, engineering or other analytical field. Preferred Masters Ph.D. in economics, mathematics , statistics, computer science, finance, engineering or other analytical field. 3+ years of programming or forecasting experience (machine learning algorithms, clustering techniques regression analysis etc) using analytical tools such as SAS, SPSS, R, Python, Matlab, Java etc. Demonstrated experience with Base SAS, SAS Enterprise Miner, SAS Enterprise Guide, SAS Forecast Server, SASSTAT, SASOR, SAS Viya 3.4 with SAS Visual Analytics, SAS Visual Statistics, SAS VDMML, SAS Visual Text Analytics. Preferred 1+ years programmingforecasting experience working in the electric andor gas utility sector. Ability to coach and train others on how to develop analytical insights. Awareness of vendor-provided analytical solutions in the utility sector. Strong background in a data driven environment that demonstrates ability to develop, build, and deploy analytical solutions (machine learning algorithms, regression analysis etc) that create actionable insights. Strong communicator both at technical and strategic levels. Experience discussing complex topics in a simple, easy-to-understand way. Demonstrated teamwork skills. Strong, demonstrated writing and presentation skills. Prefer candidates with programming coding certificates in traditional analytical software such as SAS, R, Python, SPSS, Matlab, Java etc.PandoLogic. Category: Science, Keywords: Data Scientist
Associated topics: artificial intelligence, circuit, c++, c#, electronic engineering, informatic, java, processor, schematic, software engineer

* Estimated salary


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