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
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 20, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Warren, NJ
-
🧠 - 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.