

Global Technology Partners
Data Science Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a "Data Science Specialist" requiring 7+ years of experience in Data Science, strong proficiency in Python/R, and expertise in machine learning frameworks. It is a 100% onsite position focused on payment processing within financial systems.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 20, 2026
🕒 - 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
Warren, NJ
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🧠 - Skills detailed
#Datasets #ML (Machine Learning) #Programming #R #Python #Data Science #SageMaker #TensorFlow #Libraries #PyTorch #PCI (Payment Card Industry) #Distributed Computing #Compliance
Role description
We are seeking an experienced "Senior Data Scientist" with deep expertise in machine learning and large-scale data systems. This role requires strong technical proficiency, experience handling high-volume datasets, and domain knowledge in payment processing and financial systems.
• In-person interview is required.
• This is 100% onsite position.
• Due to the nature of the project, we require Visa independent candidates only.
Required skills & experience:
• More than 7 years of experience in Data Science, Machine Learning, or a related field.
• Strong proficiency in programming languages such as Python, R, or Julia.
• Hands-on experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proven experience building and scaling ML models on Amazon SageMaker, particularly with large-scale datasets (100M–300M+ records).
• Experience with distributed computing frameworks such as Ray or Dask.
• Strong understanding of data structures, algorithms, and software design principles.
• Experience working with payment processing systems, including debit/credit cards, e-payments, and ACH networks.
• Knowledge of payment routing optimization and payload optimization techniques.
• Experience working within the banking or financial services industry, or with financial datasets.
• Understanding of financial regulations and compliance standards such as PCI-DSS.
We are seeking an experienced "Senior Data Scientist" with deep expertise in machine learning and large-scale data systems. This role requires strong technical proficiency, experience handling high-volume datasets, and domain knowledge in payment processing and financial systems.
• In-person interview is required.
• This is 100% onsite position.
• Due to the nature of the project, we require Visa independent candidates only.
Required skills & experience:
• More than 7 years of experience in Data Science, Machine Learning, or a related field.
• Strong proficiency in programming languages such as Python, R, or Julia.
• Hands-on experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proven experience building and scaling ML models on Amazon SageMaker, particularly with large-scale datasets (100M–300M+ records).
• Experience with distributed computing frameworks such as Ray or Dask.
• Strong understanding of data structures, algorithms, and software design principles.
• Experience working with payment processing systems, including debit/credit cards, e-payments, and ACH networks.
• Knowledge of payment routing optimization and payload optimization techniques.
• Experience working within the banking or financial services industry, or with financial datasets.
• Understanding of financial regulations and compliance standards such as PCI-DSS.






