

Data Scientist – Generative AI & LLMs
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist – Generative AI & LLMs in Atlanta, GA (Onsite – 4 days/week) for over 6 months, offering competitive pay. Requires 5+ years in data science, expertise in Generative AI, LLMs, Python, and Palantir Foundry.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
-
🗓️ - Date discovered
August 4, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Deployment #BI (Business Intelligence) #Regression #Time Series #Unsupervised Learning #GIT #Clustering #Microsoft Power BI #Data Access #Data Engineering #Palantir Foundry #SQL (Structured Query Language) #Data Analysis #Data Science #Libraries #Model Optimization #Pandas #Stories #NumPy #AI (Artificial Intelligence) #Visualization #Supervised Learning #Tableau #Datasets #ML (Machine Learning) #Python #Model Deployment #Classification #"ETL (Extract #Transform #Load)"
Role description
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Location: Atlanta, GA (Onsite – 4 days/week) Experience Level: 5–10 Years Job Type: Full-Time or Contract
Job Summary:
We are seeking a highly skilled and hands-on Data Scientist with deep expertise in Generative AI and Large Language Models (LLMs) to join our growing analytics team. This role is ideal for candidates who enjoy applying advanced machine learning techniques to solve complex business problems and are comfortable working in platforms like Palantir Foundry for deployment, collaboration, and visualization.
The ideal candidate combines technical depth with strong business acumen and thrives in a cross-functional, fast-paced environment.
Key Responsibilities
Design, develop, and deploy predictive models using supervised and unsupervised learning techniques
Conduct exploratory data analysis, feature engineering, and model optimization across varied datasets
Collaborate with business stakeholders and data engineers to scope problems and deliver actionable insights
Use Palantir Foundry for data access, transformation, model deployment, and cross-functional collaboration
Develop and present compelling data stories through reports, dashboards, and visualizations
Monitor and refine model performance post-deployment in production environments
Document modeling logic, assumptions, and validation steps to ensure reproducibility and transparency
Required Skills
5+ years of experience in data science, machine learning, and statistical analysis
Hands-on experience working with Generative AI models and LLMs
Proficient in Python and ML libraries: scikit-learn, pandas, NumPy, XGBoost, etc.
Solid understanding of classification, regression, clustering, time series, and evaluation techniques
Strong SQL skills and comfort working with large, complex datasets
Prior experience using Palantir Foundry for modeling, collaboration, or deployment workflows
Excellent communication skills with the ability to simplify complex insights for business users
Preferred Qualifications:
Experience in domains such as insurance, finance, healthcare, or manufacturing
Familiarity with MLOps, CI/CD pipelines, and Git-based development workflows
Experience with data visualization tools like Power BI, Tableau, or Foundry Dashboards
How to Apply:
Please submit your resume and highlight your experience with GenAI, LLMs, and Palantir Foundry. Immediate availability is highly preferred.