Data Scientist Remote at Iris Software Inc.
I

Data Scientist

Full-time Posted 9 months ago

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 lifecycle—from data preparation to productionizing models—within the AWS ecosystem.

Responsibilities

  • Develop and deploy ML models using AWS tools (SageMaker, Bedrock, Lambda, etc.)
  • Build and maintain data pipelines and production workflows.
  • Translate business problems into data-driven solutions.
  • Collaborate with engineers and business stakeholders to integrate models into platforms.
  • Present technical exercises and insights to cross-functional teams.

Technical Requirements

  • 3 years of hands-on experience in data science and ML Ops.
  • Strong proficiency in AWS ML tools and model lifecycle management.
  • Experience with data wrangling, model training, deployment, and monitoring.
  • Programming in Python, SQL, R; familiarity with CI/CD pipelines.
  • 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: [email protected] | www.irissoftware.com

Tags & Focus Areas

Contract Remote Machine Learning Data Science Mlops Ai

About Iris Software Inc.

We're seeking a hands-on MLOps Solution Architect to design and implement scalable, secure, and cost-effective ML platforms on AWS . You'll lead the end-to-end architecture for model training, CI/CD pipelines, deployment strategies, monitoring, and governance across teams of data scientists and engineers.

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