ScaleneWorks INC
Data Scientist W/d Very Strong Python Experience
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with very strong Python experience, requiring over 6 months of contract work onsite in Jersey City, NJ. Key skills include AI/ML engineering, AWS, SDLC, and prompt engineering for large language models.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 7, 2026
🕒 - Duration
More than 6 months
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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
Jersey City, NJ
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Agile #ML (Machine Learning) #AI (Artificial Intelligence) #Cloud #Java #Jupyter #Data Science #Python
Role description
Job Title :: Data Scientist w/d very strong Python Experience
Location :: Jersey City, NJ – 5 days Onsite Role
Job Type: Full-time/contract
Job Description:
• Hands-on experience in AI/ML engineering or software/data development, with advanced proficiency in Python and good to have Java.
• Hands on AI and Agentic flow expertise
• Experience in Cloud (AWS) and SDLC environment.
• Demonstrated expertise in context and prompt engineering for large language models (LLMs), including prompt design and optimization.
• Experience building and managing sandbox environments (e.g., Jupyter) for experimentation and implementing CI/CD pipelines.
• Strong background in cloud platforms (preferably AWS, Bedrock) and Infrastructure-as-Code tools.
• Familiarity with explainable AI techniques, secure data handling, and effective collaboration in agile, cross-functional teams.
Mandatory Skills:
• Language: Python/Java
• Hands on AI and Agentic flow expertise
• Cloud (AWS)
• SDLC
Job Title :: Data Scientist w/d very strong Python Experience
Location :: Jersey City, NJ – 5 days Onsite Role
Job Type: Full-time/contract
Job Description:
• Hands-on experience in AI/ML engineering or software/data development, with advanced proficiency in Python and good to have Java.
• Hands on AI and Agentic flow expertise
• Experience in Cloud (AWS) and SDLC environment.
• Demonstrated expertise in context and prompt engineering for large language models (LLMs), including prompt design and optimization.
• Experience building and managing sandbox environments (e.g., Jupyter) for experimentation and implementing CI/CD pipelines.
• Strong background in cloud platforms (preferably AWS, Bedrock) and Infrastructure-as-Code tools.
• Familiarity with explainable AI techniques, secure data handling, and effective collaboration in agile, cross-functional teams.
Mandatory Skills:
• Language: Python/Java
• Hands on AI and Agentic flow expertise
• Cloud (AWS)
• SDLC
