Live opening · Posted 3 days ago

Lead Data Scientist

EPAM Systems · Gurgaon, Haryana, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyEPAM Systems
LocationGurgaon, Haryana, India (On-site)
Work modeNo
SkillsPython, Azure
SourceLinkedin
ListedPosted 3 days ago

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About the role

Description supplied by the original job listing.

Our collaborative team is seeking a Lead Data Scientist to join us. This role involves taking on a central part in building and deploying AI solutions spanning multiple domains, including statistical analysis and natural language processing. Candidates who are enthusiastic about using data to drive meaningful outcomes are invited to submit their application.
Responsibilities
Build and deploy AI solutions covering classification, clustering, and anomaly detection
Perform statistical data analysis and implement machine learning methods
Oversee end-to-end project execution, spanning data preparation through model evaluation
Apply Python and SQL skills for data handling and analysis
Participate in ML Ops practices and model development pipelines
Design models that business users can easily access
Work alongside teams following software development practices and version control systems
Keep documentation current and manage project tracking through tools like Jira
Remain current with emerging technologies while applying strong problem-solving abilities
Produce production-ready outputs and contribute to knowledge sharing efforts
Requirements
9+ years working in software engineering with a focus on Data Science
A minimum of 1 year in a relevant leadership capacity
Strong command of statistical data analysis, machine learning, and NLP, along with a solid grasp of their real-world uses and constraints
Hands-on experience building and deploying AI solutions, covering classification, clustering, anomaly detection, and NLP
Skilled in managing the full project lifecycle, from data preparation to model construction, evaluation, and visualization
Strong Python and SQL skills, including writing production-level code and using data analysis libraries
Knowledge of ML Ops, model development pipelines, and feature engineering approaches
Ability to manipulate data and build business-accessible models, including experience with Azure AI Search
Skilled in software development practices, version control systems (such as GitLab), and project tracking tools (such as Jira)
Eagerness to explore new technologies, paired with strong problem-solving ability and a track record of delivering production-ready work
Comfortable working with the UNIX command line
Experience working within Agile development frameworks
Strong English communication skills, at a B2+ level or higher
Nice to have
Understanding of Cloud Computing
Hands-on experience with Big Data tools
Exposure to visualization tools
Skilled in using containerization tools

Work arrangement
No

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