DATA SCIENTIST

Zoho; Gurugram District; On-site; INR 1,100,000 - 1,600,000; Full time

Job summary

Vrinda International is seeking a skilled Data Scientist to join its IT Services division, transforming complex datasets into actionable business insights and driving strategic decisions.

The ideal candidate has 3–4 years of hands-on experience with Python, SQL, ML, NLP, and dashboards (Power BI/Tableau). You will deploy models in production, collaborating with cross-functional teams to align analytics with business goals.

Qualifications

• 3–4 years hands-on experience in data science, analytics, or related technical field within IT Services.
• Strong proficiency in Python and SQL for data manipulation, querying, and algorithm implementation.
• Deep expertise in machine learning, statistics, and data visualization techniques.
• Core libraries including Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, and PyTorch.
• Practical experience with NLP, Generative AI, and LLM technologies.
• Ability to translate complex technical concepts into clear business strategies using Power BI and Tableau.
• Capacity to work with large, unstructured datasets.

Responsibilities

• Design, develop, and deploy machine learning models and deep learning architectures for business problems.
• Conduct exploratory data analysis to uncover patterns, trends, and anomalies.
• Engineer features and optimize data pipelines using Python (Pandas, NumPy, PySpark) for high-quality input.
• Apply NLP techniques and work with LLMs and Generative AI to enhance text-based analytics.
• Utilize frameworks like TensorFlow, PyTorch, and Scikit-learn to build and validate models.
• Create dashboards using Power BI and Tableau to communicate findings to stakeholders.
• Perform rigorous statistical analysis and hypothesis testing to validate model performance.
• Collaborate with cross-functional teams to integrate data science into production.

Skills

Python

SQL

Machine Learning

Statistics

Pandas

NumPy

Scikit-learn

XGBoost

TensorFlow

PyTorch

NLP

LLMs

Power BI

Tableau

Data Visualization

Tools

TensorFlow

PyTorch

XGBoost

Job description

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Job Description

Summary

We are seeking a skilled Data Scientist to join our IT Services division, where you will play a pivotal role in transforming complex datasets into actionable business insights. This position demands a professional who can leverage advanced statistical methods and machine learning algorithms to solve critical challenges and drive strategic decision-making. The ideal candidate will bridge the gap between raw data and practical applications, ensuring that our analytical models are robust, scalable, and aligned with organizational goals.

Responsibilities

• Design, develop, and deploy sophisticated machine learning models and deep learning architectures to address specific business problems.
  
• Conduct comprehensive exploratory data analysis (EDA) to uncover hidden patterns, trends, and anomalies within large-scale datasets.
  
• Engineer features and optimize data pipelines using Python libraries such as Pandas, NumPy, and PySpark to ensure high-quality input for modeling.
  
• Apply natural language processing (NLP) techniques and work with Large Language Models (LLMs) and Generative AI to enhance text-based analytics and automation.
  
• Utilize frameworks like TensorFlow, PyTorch, and Scikit-learn to build, train, and validate predictive models and neural networks.
  
• Create interactive and intuitive dashboards using Power BI and Tableau to communicate findings effectively to stakeholders.
  
• Perform rigorous statistical analysis and hypothesis testing to validate model performance and ensure data integrity.
  
• Collaborate with cross-functional teams to integrate data science solutions into production environments and support ongoing model maintenance.
  

Requirements

Requirements:

• Possess 3 to 4 years of hands-on experience in data science, analytics, or a related technical field within the IT Services sector.
  
• Demonstrate strong proficiency in Python and SQL for data manipulation, querying, and algorithm implementation.
  
• Show deep expertise in machine learning, statistics, and data visualization techniques.
  
• Be well-versed in core libraries including Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, and PyTorch.
  
• Have practical experience with NLP, Generative AI, and LLM technologies.
  
• Display the ability to translate complex technical concepts into clear business strategies using tools like Power BI and Tableau.
  
• Maintain a solid understanding of data analysis methodologies and the capacity to work with large, unstructured datasets.