Iris Software Inc.

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (Contract to Hire) in Newark, NJ (Remote) with a pay rate of "unknown". Candidates must have 3 years of experience in data science and ML Ops, proficiency in AWS tools, and strong programming skills in Python, SQL, and R.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
November 13, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Python #Deployment #ML Ops (Machine Learning Operations) #Data Pipeline #R #Data Wrangling #Data Science #Lambda (AWS Lambda) #Monitoring #AWS (Amazon Web Services) #ML (Machine Learning) #SQL (Structured Query Language) #SageMaker #Programming #Model Deployment
Role description
Note: Its a contract to hire role - Apply only if you're comfortable working independently (i.e., W2) or under your own corporation (i.e., Independent Corporation). IRIS direct end client which is one of the Fortune 500 company and an international life insurance and financial services firm is urgently looking to hire Data Scientist – Newark, NJ (Remote). This is a Contract to Hire opportunity. Data Scientist Newark, NJ 07102 (Remote) Nature of Contract – Contract to Hire Role JOB DESCRIPTION: Job Summary: We’re seeking a Data Scientist with a strong foundation in data science and hands-on experience in ML Ops and model deployment. The ideal candidate is comfortable working across the entire ML lifecycleβ€”from data preparation to productionizing modelsβ€”within the AWS ecosystem. Responsibilities β€’ Develop and deploy ML models using AWS tools (SageMaker, Bedrock, Lambda, etc.) β€’ Build and maintain data pipelines and production workflows. β€’ Translate business problems into data-driven solutions. β€’ Collaborate with engineers and business stakeholders to integrate models into platforms. β€’ Present technical exercises and insights to cross-functional teams. Technical Requirements β€’ 3 years of hands-on experience in data science and ML Ops. β€’ Strong proficiency in AWS ML tools and model lifecycle management. β€’ Experience with data wrangling, model training, deployment, and monitoring. β€’ Programming in Python, SQL, R; familiarity with CI/CD pipelines. β€’ Ability to quickly learn new business domains and communicate insights effectively. Looking forward to hear from you...!!! Best Regards, Bharat Sharma Sr. Talent Acquisition – Executive Iris Software 200 Metroplex Drive, Suite #300 Edison, NJ 08817 Mail: bharat.sharma@irissoftware.com | www.irissoftware.com