Data Scientist with ML
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with ML in New York, offering expertise in Machine Learning, AI, and Data Science within banking. Requires strong Python, R, or Scala skills, experience with Big Data technologies, and knowledge of regulatory compliance frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 12, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#Deployment #Python #Compliance #AI (Artificial Intelligence) #Programming #Model Deployment #Spark (Apache Spark) #TensorFlow #SQL (Structured Query Language) #NoSQL #R #Databases #Hadoop #Data Science #PyTorch #Scala #Big Data #Monitoring #ML (Machine Learning)
Role description
Position: Data Scientist with ML
Location: New York
Requirements:
• Experience in Machine Learning, AI, or Data Science, ideally within the banking or financial services.
• Strong programming skills in Python, R, or Scala.
• Expertise in ML/AI frameworks like TensorFlow, PyTorch, Scikit-learn.
• Hands-on experience with Big Data technologies (Hadoop, Spark) and databases (SQL & NoSQL).
• Deep understanding of statistical modeling, optimization techniques, and feature engineering.
• Solid grasp of risk modeling, capital models, and regulatory compliance frameworks (e.g., Basel III, CCAR, IFRS 9).
• Familiarity with MLOps tools and best practices for model deployment and monitoring.
• Excellent communication skills with the ability to explain complex ML concepts to non-technical audiences.
Regards
Patrick Fernandez
Talent Acquisition Group - Strategic Recruitment Manager
Position: Data Scientist with ML
Location: New York
Requirements:
• Experience in Machine Learning, AI, or Data Science, ideally within the banking or financial services.
• Strong programming skills in Python, R, or Scala.
• Expertise in ML/AI frameworks like TensorFlow, PyTorch, Scikit-learn.
• Hands-on experience with Big Data technologies (Hadoop, Spark) and databases (SQL & NoSQL).
• Deep understanding of statistical modeling, optimization techniques, and feature engineering.
• Solid grasp of risk modeling, capital models, and regulatory compliance frameworks (e.g., Basel III, CCAR, IFRS 9).
• Familiarity with MLOps tools and best practices for model deployment and monitoring.
• Excellent communication skills with the ability to explain complex ML concepts to non-technical audiences.
Regards
Patrick Fernandez
Talent Acquisition Group - Strategic Recruitment Manager
