SAS Data Scientist -Python SAS SQL-Hybrid-Extensive statistical analysis exp.required

Overview

Hybrid
$85 - $100
Contract - W2
Contract - 1 Year(s)
No Travel Required

Skills

Algorithms
Analytical Skill
Big Data
Collaboration
Data Science
Machine Learning (ML)
Presentations
Python
SAS
SQL
Statistics
Unstructured Data
Use Cases
SAS Viya
statistical analysis software

Job Details

Absolutely no third parties please !!

candidates MUST HAVE strong statistical modeling using SAS, data analysis, machine learning tools.

Our client an international telecommunications technology company has an urgent and immediate need for a Data Scientist with strong statistical modeling, data analysis, machine learning tools, and SAS. The Data Scientist will be responsible for analyzing complex datasets to uncover patterns, trends, and insights that drive strategic business decisions. This will be a long-term contract and requires you to be onsite at least 3-days per week. The position can be staffed at one of our client's locations in Plano, TX / Alpharetta, GA or Chicago, IL. Responsibilities: Develop predictive models, machine learning algorithms, and statistical analyses to solve business problems and improve campaign or operational performance.
Collaborate with business and technical teams to define data science use cases and translate business requirements into analytical solutions.
Communicate findings and recommendations through visualizations, presentations, and reports tailored to both technical and non-technical audiences.

Responsibilities

Our Client is seeking a Data Scientist to Analyze complex datasets to uncover patterns, trends, and insights that drive strategic business decisions.
Develop predictive models, machine learning algorithms, and statistical analyses to solve business problems and improve campaign or operational performance.
Collaborate with business and technical teams to define data science use cases and translate business requirements into analytical solutions.
Communicate findings and recommendations through visualizations, presentations, and reports tailored to both technical and non-technical audiences.

Required Skills

Work with large volumes of structured and unstructured data using tools such as Python, SAS Viya, SQL, and big data platforms.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Elite Technical