Signature IT World Inc
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position based in Alpharetta, GA (Hybrid) for a W2 contract. Requires experience in prompt engineering, LLM, Python, and AI/ML, along with advanced knowledge of data mining techniques.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 5, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Alpharetta, GA
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Regression #Python #Clustering #Data Science #ML (Machine Learning) #Data Mining
Role description
Job Role : Data Scientist
Location : Alpharetta, GA (Hybrid)
W2 Contract
Job Description:-
Data scientists are responsible for mining complex data and providing systems-related advice for their organization.
Experience with prompt engineering and working on LLM is required.
Working with constituents of AI applications to onboard and assisting them for utilizing the model.
Working experience with Python and AI/ML
Most of the time data scientists work in teams using collaborative filtering, k-nearest neighbors, market basket analysis and matrix factorization methods.
They deal with cutting edge technologies on a regular basis, and often have the best tools available at their disposal.
They should have advanced knowledge of different data mining techniques such as clustering, regression analysis, decision trees and support vector machines.
Job Role : Data Scientist
Location : Alpharetta, GA (Hybrid)
W2 Contract
Job Description:-
Data scientists are responsible for mining complex data and providing systems-related advice for their organization.
Experience with prompt engineering and working on LLM is required.
Working with constituents of AI applications to onboard and assisting them for utilizing the model.
Working experience with Python and AI/ML
Most of the time data scientists work in teams using collaborative filtering, k-nearest neighbors, market basket analysis and matrix factorization methods.
They deal with cutting edge technologies on a regular basis, and often have the best tools available at their disposal.
They should have advanced knowledge of different data mining techniques such as clustering, regression analysis, decision trees and support vector machines.
