E-Solutions
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Alpharetta, GA, offering a long-term contract with a pay rate of "unknown." Requires 8-10 years of experience, proficiency in Python, R, machine learning, big data technologies, and expertise in data analysis and modeling.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 14, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Alpharetta, GA
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🧠 - Skills detailed
#Distributed Computing #Big Data #Libraries #ML (Machine Learning) #Data Processing #Classification #NumPy #Spark (Apache Spark) #Datasets #Pandas #Data Analysis #Data Science #Storage #Clustering #TensorFlow #Regression #Data Manipulation #Python #PyTorch #R
Role description
Job Role: Data Scientist
Location: Alpharetta, GA (Onsite)
Duration : Long Term Contract
Data Scientist Experience: 8 to 10 years
• Hands-on experience with data analysis tools: Proficient in using tools such as Python and R for data manipulation, querying, and analysis. Skilled in utilizing libraries like Pandas, NumPy, and Scikit-Learn to perform in-depth data analysis and modeling.
• Skilled in machine learning and predictive analytics: Expertise in building, training, and deploying machine learning models using frameworks such as TensorFlow and PyTorch.
• Capable of performing tasks like regression, classification, clustering, and recommendation, leading to data-driven predictions and insights.
• Expertise in big data technologies: Proficient in handling large datasets using big data tools such as Spark.
• Skilled in employing distributed computing and parallel processing techniques to ensure efficient data processing, storage, and analysis, enabling enterprise-level solutions and informed decision-making
Job Role: Data Scientist
Location: Alpharetta, GA (Onsite)
Duration : Long Term Contract
Data Scientist Experience: 8 to 10 years
• Hands-on experience with data analysis tools: Proficient in using tools such as Python and R for data manipulation, querying, and analysis. Skilled in utilizing libraries like Pandas, NumPy, and Scikit-Learn to perform in-depth data analysis and modeling.
• Skilled in machine learning and predictive analytics: Expertise in building, training, and deploying machine learning models using frameworks such as TensorFlow and PyTorch.
• Capable of performing tasks like regression, classification, clustering, and recommendation, leading to data-driven predictions and insights.
• Expertise in big data technologies: Proficient in handling large datasets using big data tools such as Spark.
• Skilled in employing distributed computing and parallel processing techniques to ensure efficient data processing, storage, and analysis, enabling enterprise-level solutions and informed decision-making
