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EPAM Systems

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Data Scientist

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Description

We are seeking a talented Data Scientist with 1-3 years of experience to lead and drive data science initiatives within our department. This is a full-time position focused on developing and implementing advanced analytical solutions using cutting-edge platforms.

Personal Profile:

  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders
  • Strong leadership qualities with proven ability to drive system implementation and adoption
  • Assertive and confident in leading cross-functional initiatives
  • Self-motivated with the ability to work independently and as part of a team
  • Passionate about leveraging data to create business value

The position is open to all qualified candidates regardless of gender.

Responsibilities

  • Lead the characterization and development of machine learning models using DATAIKU and Vertex.AI platforms
  • Design, build, and deploy predictive models and algorithms to solve complex business problems
  • Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions
  • Perform exploratory data analysis and feature engineering
  • Implement and optimize machine learning pipelines in cloud environments
  • Lead the implementation and adoption of new data science systems and methodologies
  • Present findings and recommendations to stakeholders using data visualization and clear communication
  • Stay current with latest developments in data science and machine learning technologies

Requirements

  • Minimum 1+ years of hands-on experience in Data Science (beyond just LLM applications)
  • Practical experience working with Large Language Models (LLMs) through coding
  • Cloud platform experience (GCP, AWS, or Azure preferred)
  • Strong proficiency in DATAIKU and Google Vertex.AI
  • Solid understanding of machine learning algorithms and statistical methods
  • Proficiency in Python and relevant data science libraries (pandas, scikit-learn, TensorFlow/PyTorch)
  • Strong analytical thinking and problem-solving capabilities
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

Nice to have

  • Experience with MLOps and model deployment in production environments
  • Knowledge of SQL and big data technologies
  • Experience with A/B testing and experimental design
  • Familiarity with agile development methodologies

Skills

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See also

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