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SAS Data Scientist


Reference Number: RKGAJS7

SAS Data Scientist
experience  Not Disclosed
location  Atlanta, GA
duration  6.0 Months
salary  Not Disclosed
jobtype  Not Disclosed
Industry  Government - Local
Job Description

DESCRIPTION and RESPONSIBILITIES

Client is seeking a full-time Junior SAS Data Scientist consultant to work with our client, a manufacturing client.
The Sales & Operations Planning Data Scientist is responsible for the development and execution of data science and analytics use cases at client focused on predicting demand for ag equipment, enabling scenario planning, and supporting other S&OP sales, inventory, and capacity management use cases. The S&OP Data Scientist has a direct role in ensuring farmers can get the equipment they need to run their operations at the right time by integrating data and decision making into cliient’s core business processes and providing insight to senior leadership. This role is essential in ensuring the efficient operations of the enterprise by
providing reliable short- to long-range forecasts of market needs enabling client to efficiently meet production targets.??
Consultants will quickly learn that they have the support of a team of intelligent and highly motivated individuals who have a genuine interest in their professional development and advancement to higher positions.

QUALIFICATIONS – ESSENTIAL

• A minimum of Bachelor’s degree in Economics, Statistics, Mathematics, Computer Science, Business Administration, Data Science or a related field is required and equivalent work experience required
• 1+ years of SAS programming experience or related field with hands-on experience in development of analytical models and machine learning techniques.
• High level of competence using computers (especially Excel, Word, and PowerPoint)
• Advanced analytics tools (SAS, R, SQL or Python is a big plus) to carry out statistical and machine learning analysis.
• Use big data computing frameworks for processing of large data volumes (AWS Glue, EMR and Sagemaker, other). Familiar with cloud technologies for model development and deployment.
• A plus for the candidate with Supply Chain experience
• Strong attention to detail
• Ability to quickly learn and apply new concepts
• Ability to work in a team environment
• Solid work ethic and commitment to success

PRIMARY RESPONSIBILITES:

• Own the development and maintenance of industry and other forecasting models for the organization
• Determine appropriate analytics technique for addressing S&OP opportunities. Assesses feasibility of analytics use cases in POC studies.
• Acts as a change agent, engaging with business stakeholders and others in the data science community at client to continue to educate, increase awareness, and build support for world class data and analytics.
• Stays up to date on leading data science and analytic practices, trends, design, learning and development cycles
• Travel requirements: <25%
• Using SAS and Microsoft Office to analyze data and present results both internally and to client


This is a remote working position.
Contract to Hire
VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status

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