Job Description :
is a Information technology Development and IT Consulting services provider that develops innovative, IT-driven solutions supported by business strategy and industry expertise. Based in Maryland. IT Consulting services works with Fortune 100/500 clients as well mid range
in All diverse sectors, Central to our work is a steadfast commitment to the reach goals of our clients: By leveraging our industry experience and investing in our clients'' success, we develop solutions to improve the agility and effectiveness of business.
We have job opening for SAS Data Scientist Job at The Woodlands-Houston, TX or New Orleans, LA
Job Title: SAS Data Scientist
Duration : 3 to 6 Months
Contract Type: Immediate hire.
Client Location: The Woodlands-Houston, TX or New Orleans, LA
Certifications: None. Base SAS certification helpful. Advanced SAS certification helpful. SAS Data Mining certification or SAS Predictive Modeling certification helpful.
Job Description:
Client 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 solutions/tools 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, SAS/STAT, SAS/OR, SAS Viya 3.4 with SAS Visual Analytics, SAS Visual Statistics, SAS VDMML, SAS Visual Text Analytics.
Preferred:
1+ years’ programming/forecasting experience working in the electric and/or 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.