Amaze Systems
Lead Data Scientist with Python Coder and Finance in Payments
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Scientist with Python expertise in Finance and Payments, offering a 6-month contract at $X/hour. Located in Atlanta, GA, it requires proficiency in Python, R, machine learning, and big data technologies like Spark.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 24, 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
Atlanta, GA
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🧠 - Skills detailed
#Distributed Computing #PyTorch #ML (Machine Learning) #Data Manipulation #Storage #Pandas #Big Data #NumPy #TensorFlow #Data Science #Data Analysis #Python #Libraries #Spark (Apache Spark) #Clustering #Classification #Datasets #Regression #Data Processing #R
Role description
Hello,
Hope you are doing well,
Position: Data Scientist
Location: Atlanta, GA 3 day onsite
Role : Data Scientist
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
Hello,
Hope you are doing well,
Position: Data Scientist
Location: Atlanta, GA 3 day onsite
Role : Data Scientist
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
