Senior Data Scientist

EPAM Systems

Coimbatore District

On-site

INR 1,800,000 - 3,200,000

Full time

7 hours ago
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Job summary

EPAM Systems is seeking a Senior Data Scientist to deliver AI solutions across real-world constraints, from data prep to deployment. You will collaborate with cross-functional teams to ship scalable outcomes and own end-to-end development in a fast-paced environment.

The role emphasizes Python/SQL, ML/NLP techniques, and building robust data pipelines while adopting Agile practices and UNIX command line workflows. Strong communication skills are essential.

Qualifications

  • 5+ years of professional experience in Data Science.
  • Strong knowledge of statistical analysis, ML, and NLP.
  • Hands-on Python and SQL experience with data analysis libraries.
  • Experience with ML Ops and model workflows.
  • Ability to communicate complex ideas clearly.

Responsibilities

  • Deliver AI solutions including classification, clustering, anomaly detection, and NLP.
  • Apply statistical methods and ML algorithms to solve problems.
  • Write production-ready Python and SQL code and analyze data.
  • Design model development workflows and feature engineering.
  • Leverage Azure AI Search to improve data and model access.
  • Collaborate with developers and project managers using GitLab and Jira.
  • Enhance data pipelines and optimize model performance in real-world use cases.
  • Communicate technical concepts to diverse audiences.
  • Apply emerging technologies to projects with strong problem-solving.
  • Contribute to Agile workflows and UNIX command line tasks as needed.

Skills

Python
SQL
NLP
Machine Learning
Statistics
Azure AI Search
GitLab
Jira
UNIX
Communication

Tools

GitLab
Jira
Azure AI Search

Job description

We are looking for a Senior Data Scientist to deliver impactful AI solutions using statistics, machine learning, and NLP across real-world constraints. You will own work end-to-end from data prep through deployment, partnering with cross-functional teams to ship scalable outcomes.

Responsibilities
  • Deliver AI solutions including classification, clustering, anomaly detection, and NLP
  • Apply statistical methods and machine learning algorithms to solve complex problems
  • Write production-ready code and conduct data analysis using Python and SQL
  • Design model development workflows and implement feature engineering methods
  • Leverage Azure AI Search to improve business access to data and models
  • Collaborate with developers and project managers while using GitLab and Jira
  • Enhance data pipelines and optimize model performance for real-world use cases
  • Communicate technical concepts clearly to audiences with different levels of expertise
  • Apply emerging technologies to project work and demonstrate strong problem-solving skills
  • Contribute to Agile workflows and handle UNIX command line tasks as needed
Requirements
  • Proven track record with 5+ years of professional experience in Data Science
  • Deep understanding of statistical data analysis, machine learning, and NLP with practical trade-offs in mind
  • Hands-on experience with Python programming and SQL, including data analysis libraries used in practice
  • Solid background in AI solution development such as classification, clustering, or NLP
  • Working knowledge of ML Ops and feature engineering approaches for model workflows
  • Practical ability to use Azure AI Search to deliver business-oriented model access
  • Strong familiarity with software development methodologies and version control tools like GitLab
  • Experience with project tracking tools like Jira and Agile workflows
  • Comfort with UNIX command line usage and applying innovative technology solutions
  • B2 level of English (Upper-Intermediate) or higher with strong technical communication ability
Nice to have
  • Familiarity with Cloud Computing, Big Data tools, and containerization solutions
  • Ability to use data visualization tools to present insights clearly
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