NEWPosted 3 hours ago

Job ID: JOB_ID_8619

Job Overview:

We are seeking a skilled Data Modeler / Data Scientist with strong experience in scientific data and developing synthetic or small-scale data modules. The ideal candidate will work closely with business and technical teams to design, build, and optimize data models that support advanced analytics and scientific use cases.

Key Responsibilities:

  • Design and develop scalable data models for scientific and analytical applications.
  • Work with structured and unstructured scientific datasets.
  • Develop and implement synthetic data models and small-scale modules.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
  • Ensure data quality, integrity, and consistency across systems.
  • Optimize data structures for performance and scalability.
  • Support data analysis and advanced analytics initiatives.

Required Skills & Qualifications:

  • Strong experience in data modeling and data analysis.
  • Experience working with scientific, research, or life sciences datasets.
  • Hands-on experience in synthetic data generation or small module development.
  • Proficiency in Python, R, or SQL.
  • Solid understanding of data structures, database design, and ETL processes.
  • Strong analytical and problem-solving skills.

Location Details:

Indianapolis, IN (Onsite Monday to Thursday)

About the Company:

ICS Global Soft is a dynamic IT solutions provider focused on delivering innovative and effective solutions to its clients. We pride ourselves on our technical expertise and our commitment to client success. Join our team and contribute to exciting projects in the data science and analytics space.


Special Requirements

Onsite Monday to Thursday. No specific visa constraints, screening steps, interview modes, or domain restrictions mentioned.


Compensation & Location

Salary: $60 – $80 per year

Location: Indianapolis, IN


Recruiter / Company – Contact Information

Email: nivasreddy0395@gmail.com


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