Senior Data Scientist

EPAM Systems; Gurugram District; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

EPAM Systems in India is seeking a Senior Data Scientist to create applied AI solutions by combining statistics, machine learning, and NLP for real, measurable impact. You will take part in complex initiatives from data preparation through deployment, collaborating broadly to deliver scalable results.

Responsibilities include delivering AI solutions for classification, clustering, anomaly detection and NLP; producing production-ready code in Python and SQL; applying Azure AI Search; and

Qualifications

• Strong experience in applying AI techniques to real-world problems.
• Proficiency in Python and SQL for data processing and analysis.
• Experience with NLP, ML and statistical modelling in production environments.

Responsibilities

• Deliver AI solutions covering classification, clustering, anomaly detection, and NLP.
• Employ statistical techniques and machine learning algorithms to resolve complex challenges.
• Produce production-ready code and run data analysis using Python and SQL.
• Architect workflows for model development and apply feature engineering methods.
• Apply Azure AI Search to improve how business users access data and models.
• Partner with developers and project managers and use GitLab and Jira effectively.
• Improve data pipelines and optimize model performance for practical applications.

Skills

Python

SQL

NLP

Statistics

Machine Learning

Tools

Azure AI Search

GitLab

Jira

Job description

Job Description:

We are hiring a Senior Data Scientist to create applied AI solutions by combining statistics, machine learning, and NLP for real, measurable impact. You will take part in complex initiatives from data preparation through deployment, collaborating broadly to deliver scalable results.

Responsibilities

• Deliver AI solutions covering classification, clustering, anomaly detection, and NLP
• Employ statistical techniques and machine learning algorithms to resolve complex challenges
• Produce production-ready code and run data analysis using Python and SQL
• Architect workflows for model development and apply feature engineering methods
• Apply Azure AI Search to improve how business users access data and models
• Partner with developers and project managers and use GitLab and Jira effectively
• Improve data pipelines and optimize model performance for practical applications