Senior Data Scientist

EPAM Systems India Pvt Ltd

India

A distancia

INR 1.800.000 - 3.000.000

Jornada completa

Hace 5 días
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Descripción de la vacante

EPAM Systems India Pvt Ltd in Bengaluru and other offices seeks a Senior Data Scientist to deliver AI solutions across real-world constraints. You will own end-to-end work from data prep to deployment, and collaborate with cross-functional teams to ship scalable outcomes.

You will apply statistics, ML, and NLP, write production-grade Python and SQL, and leverage Azure AI Search to enhance data and model access. Strong communication and Agile contributions are required.

Formación

  • 5+ years of professional experience in Data Science, with hands-on ML/AI delivery.
  • Strong background in statistics, ML, and NLP with practical trade-offs.
  • Proven ability to write production-ready Python and SQL code.

Responsabilidades

  • Deliver AI solutions including classification, clustering, anomaly detection, and NLP.
  • Apply statistical methods and ML algorithms to real-world problems.
  • Write production-ready code and perform data analysis using Python and SQL.
  • Design model development workflows and feature engineering methods.
  • Collaborate with cross-functional teams, using GitLab and Jira.
  • Contribute to Agile workflows and UNIX command line tasks as needed.

Conocimientos

Python programming
SQL
Statistics
Machine learning
NLP
Azure AI
ML Ops
GitLab
Jira
UNIX command line
Communication

Herramientas

GitLab
Jira
Azure
Azure AI Search
Docker

Descripción del empleo

# Senior Data ScientistOffice in Bangalore, Hyderabad, Chennai, Coimbatore, Pune, GurgaonData Science& othersSenior Data ScientistSenior Snowflake Data EngineerSenior Data Quality EngineerSenior Snowflake Data EngineerSenior Data ScientistSenior Data ScientistSenior System Engineer - AWS IAM, Python and Agentic AISenior Data ScientistSenior Data ScientistSenior Systems Engineer - Microsoft Azure with Gen AIWe 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 neededRequirements* 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 abilityNice 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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