Lead Data Scientist

EPAM Systems

Coimbatore District

In loco

INR 4.000.000 - 7.000.000

Tempo pieno

2 giorni fa
Candidati tra i primi
Generatore di candidature

Una candidatura fatta su misura per questo lavoro — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

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Vantaggi offerti da questo lavoro

Health benefits
Retirement benefits
Paid time off
Learning opportunities

Descrizione del lavoro

EPAM Systems, Inc. is seeking a Lead Data Scientist to drive AI initiatives across client projects. You will lead end-to-end data science work, from data prep to deploying production models, leveraging Python, SQL, and NLP techniques.

Join a collaborative, multi-national team and influence project delivery, ML Ops, and knowledge sharing while shaping scalable, business-ready AI solutions.

Competenze

  • 9+ years of software engineering experience with a focus on Data Science.
  • At least 1 year in a leadership capacity.
  • Strong grasp of statistical data analysis, machine learning, and NLP.
  • Hands-on experience building AI solutions involving classification, clustering, anomaly detection, and NLP.
  • Proficiency in Python and SQL in production-level coding and data analysis.
  • Knowledge of ML Ops, model development pipelines, and feature engineering.
  • Ability to build business-accessible models and work with GitLab/Jira.
  • Excellent English communication (B2+).

Mansioni

  • Develop and implement AI solutions, including classification, clustering, and anomaly detection.
  • Conduct statistical data analysis and apply machine learning techniques.
  • Manage complete project delivery from data preparation to model evaluation.
  • Utilize Python programming and SQL for data manipulation and analysis.
  • Engage in ML Ops and model development workflows.
  • Create models accessible for business use.
  • Collaborate with teams using software development methodologies and version control.
  • Document processes and maintain project tracking tools such as Jira.

Conoscenze

Python
SQL
Machine Learning
NLP
Statistical analysis
Leadership
ML Ops
Data Visualization

Strumenti

GitLab
Jira
Azure AI Search
UNIX shell

Descrizione del lavoro

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.We are looking for a Lead Data Scientist to join our collaborative team. You will play a key role in developing and implementing AI solutions across various applications, from statistical analysis to natural language processing. If you are passionate about leveraging data to create impactful solutions, we encourage you to apply.ResponsibilitiesDevelop and implement AI solutions, including classification, clustering, and anomaly detectionConduct statistical data analysis and apply machine learning techniquesManage complete project delivery from data preparation to model evaluationUtilize Python programming and SQL for data manipulation and analysisEngage in ML Ops and model development workflowsCreate models that are accessible for business useCollaborate with teams using software development methodologies and version controlDocument processes and maintain project tracking tools such as JiraStay updated with new technologies and apply problem-solving skills effectivelyDeliver production-ready solutions and facilitate knowledge sharingRequirementsOver 9 years of software engineering experience with a focus on Data ScienceA minimum of 1 year in a relevant leadership capacityStrong grasp of statistical data analysis, machine learning, and NLP, including their practical uses and constraintsHands-on experience building AI solutions involving classification, clustering, anomaly detection, and NLPSkilled in managing full project lifecycles, from data preparation to model construction, evaluation, and visualizationStrong command of Python and SQL, with background in production-level coding and data analysis librariesKnowledge of ML Ops, model development pipelines, and feature engineering approachesAbility to manipulate data and build business-accessible models, including experience with Azure AI SearchSkilled in software development practices, version control systems (such as GitLab), and tracking tools (such as Jira)Eagerness to explore new technologies, paired with strong problem-solving skills and a track record of delivering production-ready workComfortable working with the UNIX command lineExperience with Agile development approachesStrong English communication abilities, at a B2+ level or higherNice to haveUnderstanding of Cloud ComputingBackground in Big Data toolsExposure to visualization toolsSkills in containerization toolsWe offerOpportunity to work on technical challenges that may impact across geographiesVast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certificationsOpportunity to share your ideas on international platformsSponsored Tech Talks & HackathonsUnlimited access to LinkedIn learning solutionsPossibility to relocate to any EPAM office for short and long-term projectsFocused individual developmentBenefit package:Health benefitsRetirement benefitsPaid time offFlexible benefitsForums to explore beyond work passion (CSR, photography, painting, sports, etc.)
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