SAS Data Scientist-Heavy SAS and ML experience required

Overview

Hybrid
$80 - $95
Contract - W2
Contract - 1 Year(s)
No Travel Required

Skills

Algorithms
Analytical Skill
Big Data
Collaboration
Data Analysis
Data Science
Machine Learning (ML)
Presentations
Python
SAS
SQL
Statistical Models
Statistics
Telecommunications
Unstructured Data
Use Cases
statistical

Job Details

Absolutely no third parties please !!

Extensive SAS and ML experience is required !

Our client, a multinational 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.

Apply today for immediate consideration !!

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