Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of CTH, based in Atlanta, GA. Key skills include strong communication, statistical analysis, cloud ML platform experience, and proficiency in Python. Remote work is available 3-4 days onsite.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 18, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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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
#AWS SageMaker #Data Science #Libraries #Model Validation #Azure #Pandas #Python #AI (Artificial Intelligence) #SageMaker #Snowflake #Datasets #ML (Machine Learning) #AWS (Amazon Web Services) #Regression #Time Series #Data Analysis #Cloud #NumPy
Role description
Job Title: Data Scientist
Remote , Work: 3-4 days onsite
CTH
Location: Atlanta, GA – must be local
Additional notes:
1. Strong communication skills: Proven track record of translating complex analytical findings into actionable insights for non-technical business stakeholders
1. Strong statistical foundation: Regression analysis, time series modeling, feature selection, and model validation techniques
1. Hands-on experience with cloud ML platforms: Vertex AI (Google Cloud), Snowflake ML, AWS SageMaker, Azure ML, or similar. Should know how to build, deploy, and manage models in the cloud.
1. Python for data analysis and machine learning (Key Libraries Include: Pandas, NumPy, Scikit-learn, Statsmodels)
1. Comfortable working with big, messy datasets—knows how to clean, join, and make sense of data from different sources
Thanks and Regards💕
Nikhil
Technical Recruiter
Email : Nikhil@sibitalent.com
Web: www.sibitalent.com
Job Title: Data Scientist
Remote , Work: 3-4 days onsite
CTH
Location: Atlanta, GA – must be local
Additional notes:
1. Strong communication skills: Proven track record of translating complex analytical findings into actionable insights for non-technical business stakeholders
1. Strong statistical foundation: Regression analysis, time series modeling, feature selection, and model validation techniques
1. Hands-on experience with cloud ML platforms: Vertex AI (Google Cloud), Snowflake ML, AWS SageMaker, Azure ML, or similar. Should know how to build, deploy, and manage models in the cloud.
1. Python for data analysis and machine learning (Key Libraries Include: Pandas, NumPy, Scikit-learn, Statsmodels)
1. Comfortable working with big, messy datasets—knows how to clean, join, and make sense of data from different sources
Thanks and Regards💕
Nikhil
Technical Recruiter
Email : Nikhil@sibitalent.com
Web: www.sibitalent.com
