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Senior Data Scientist | Codersbrain

contract
Posted on September 4, 2025

Job Description

Sr. Data Scientist

Company Overview

No specific information provided about the company.

Job Summary

The Senior Data Scientist will play a pivotal role in utilizing advanced analytics and machine learning to solve complex data-driven problems, fostering a data-driven culture within the organization. This position contributes to the company’s strategic goals by leveraging state-of-the-art technologies and methodologies to deliver actionable insights.

Responsibilities

  • Develop and implement machine learning models using Python and relevant ML libraries.
  • Collaborate with cross-functional teams to design and create data-driven solutions for business challenges.
  • Analyze large datasets using SQL and participate in exploratory data analysis.
  • Utilize Azure AI Foundry and Azure AI Studio for deploying machine learning models.
  • Experiment with advanced NLP tools like GPT, LLaMA, and LangChain for innovative applications in data science.
  • Continuously monitor model performance and iterate to enhance accuracy and efficiency.

Qualifications

  • Proficiency in Python and SQL for data manipulation and analysis.
  • Extensive experience with machine learning libraries such as scikit-learn, TensorFlow, and PyTorch.
  • Familiarity with cloud platforms, especially Azure AI Foundry and Azure AI Studio.
  • Strong analytical skills and problem-solving capabilities.
  • Excellent communication skills to present findings to non-technical stakeholders.
  • Relevant degree in Computer Science, Data Science, Statistics, or a related field.

Preferred Skills

  • Experience with advanced natural language processing techniques and frameworks.
  • Knowledge of big data technologies (e.g., Hadoop, Spark) would be an advantage.
  • Expertise in data visualization tools for effective communication of insights.

Experience

  • A minimum of 7 years of experience in data science or a related field is required.

Environment

  • Work setup: Hybrid (3 days in the office, 2 days remote).
  • Location: Gurugram.

Salary

No specific information provided regarding salary.

Growth Opportunities

No specific information provided regarding growth opportunities.

Benefits

No specific information provided regarding benefits.

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