Data Scientist

23 hours ago

gautam buddha nagar, India Rezo.ai Full time

Position:

Senior Data Scientist

Job Description

Key Responsibilities:

  • Design, develop, and deploy speech-to-text and text-to-speech models for various applications.
  • Work with large language models (LLMs) and implement them in real-world projects.
  • Analyze and interpret contact center calling data to generate meaningful business insights.
  • Apply advanced statistical and machine learning techniques to solve complex business problems.
  • Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
  • Develop and maintain scalable data pipelines and workflows.
  • Ensure data quality and integrity by implementing best practices in data management.
  • Communicate findings and recommendations to stakeholders through detailed reports and presentations.
  • Mentor and provide guidance to junior data scientists and data analysts.

Requirements

Required Skills and Qualifications:

  • Extensive experience with speech-to-text and text-to-speech technologies.
  • Proficiency in working with large language models (LLMs) and deploying them in production environments.
  • Strong analytical skills with the ability to derive business insights from large datasets, particularly contact center calling data.
  • Expertise in statistical analysis, machine learning, and data mining techniques.
  • Proficiency in programming languages such as Python and SQL.
  • Experience with data visualization tools (e.g., Tableau, Power BI) to present insights effectively.
  • Strong understanding of data engineering concepts and experience with data pipeline tools (e.g., Apache Kafka, Apache Spark).
  • Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.

Educational Background:

  • Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. A Master’s or Ph.D. degree is a plus.

Preferred Qualifications:

  • Experience with cloud platforms (e.g., Azure, AWS, Google Cloud) for deploying data science models.
  • Familiarity with natural language processing (NLP) techniques and tools.

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