Junior Data Scientist: Copilot Analytics & Insights

Cogent Infotech Pvt. Ltd.

City of White Plains (NY)

Hybrid

USD 65,000 - 95,000

Full time

3 days ago
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Job summary

Cogent Infotech Pvt. Ltd. in White Plains, NY is seeking a junior data scientist to strengthen AI and analytics capabilities. The role supports Copilot-based use cases and helps manage growing data requests from the business, accelerating delivery of insights.

The position emphasizes collaboration with the Data Analytics team, working under guidance from senior staff, and delivering data products, reports, and presentations on tight timelines.

Qualifications

  • Bachelor’s degree in data science, computer science, statistics, mathematics, or a related field.
  • Prompt Engineering
  • Advanced data analytics skills
  • Experts in Python and SQL, and expert experience with data analysis libraries (Pandas, NumPy, SciPy, scikit-learn).
  • Familiar with Databricks, Azure Foundry, PowerBI

Responsibilities

  • CoPilot/CoPilot studio agent and more advanced features - Advanced data analytics for operations, using operational data to generate business insights.
  • Works with greater independence, however, projects are still assigned by Manager/Director of Data Analytics.
  • Works under moderate supervision, receiving guidance from Lead Data Scientists.
  • Work collaboratively with business partner to understand business analytical needs and propose solutions.
  • Deliver the data products - Deliver presentations and reports.
  • Must meet deadlines set by senior level or above.

Skills

Prompt Engineering
Advanced data analytics
Python
SQL

Education

Bachelor’s degree in data science / CS / statistics / mathematics

Tools

Databricks
Azure Foundry
PowerBI

Job description

Cogent Infotech Pvt. Ltd. in White Plains, NY is seeking a junior data scientist to strengthen AI and analytics capabilities. The role supports Copilot-based use cases and helps manage growing data requests from the business, accelerating delivery of insights.

The position emphasizes collaboration with the Data Analytics team, working under guidance from senior staff, and delivering data products, reports, and presentations on tight timelines.

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