Xforia Global Talent & Technology Solutions
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in New York City, with a contract length unspecified and a pay rate not provided. Key skills include Java, Python, and AWS. An advanced degree in a relevant field is required, along with expertise in statistical and machine learning modeling.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 31, 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
New York City Metropolitan Area
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🧠 - Skills detailed
#Datasets #ML (Machine Learning) #Python #Mathematics #Statistics #Computer Science #AWS (Amazon Web Services) #Java #Data Science
Role description
Data Scientist
New York City, New York – Day 1 onsite
Contract
Job Description :
• Apply critical thinking skills and perform advanced analytics with goal of solving complex and multi Faceted business problems.
• Experience in Java and python must
• Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations.
• Contribute to full modeling lifecycle, including defining the objective and key decision variables, choosing appropriate methodologies, performing advanced quantitative and statistical analysis of large datasets and communicating results Become SME and trusted advisor in statistical, optimization and/or machine learning modeling disciple.
• Deploy and orchestrate containerized applications leveraging AWS ECS and AWS EKS for efficient workload management.
• Advanced degree in Statistics, Data Science, Engineering, Computer Science, Operational Research, Mathematics or equivalent.
Data Scientist
New York City, New York – Day 1 onsite
Contract
Job Description :
• Apply critical thinking skills and perform advanced analytics with goal of solving complex and multi Faceted business problems.
• Experience in Java and python must
• Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations.
• Contribute to full modeling lifecycle, including defining the objective and key decision variables, choosing appropriate methodologies, performing advanced quantitative and statistical analysis of large datasets and communicating results Become SME and trusted advisor in statistical, optimization and/or machine learning modeling disciple.
• Deploy and orchestrate containerized applications leveraging AWS ECS and AWS EKS for efficient workload management.
• Advanced degree in Statistics, Data Science, Engineering, Computer Science, Operational Research, Mathematics or equivalent.
