Principle Data Scientist

3 weeks ago

Ahmedabad, Gujarat, India IT Merchant Full time
Responsibilities:
  • Develop and refine machine learning models, including NLP, classification, decision trees, and XGBoost, to enhance business decision-making processes.
  • Design and deploy generative AI models, LLMs, SLMs, and chatbots to automate and optimize customer interactions and internal workflows.
  • Implement advanced data retrieval and analysis techniques, such as RAG, clustering, summarization, prediction, and keyword/topic extraction.
  • Build and maintain robust knowledge bases and utilize trend detection, sentiment analysis, anomaly detection, and PII redaction to ensure data integrity and relevance.
  • Engineer scalable data pipelines and architectures, manage data lakes, and perform ETL processes to support data science initiatives.
  • Optimize data storage and retrieval in AWS environments, using services such as Amazon SageMaker, Amazon Redshift, Amazon OpenSearch, and AWS Bedrock.
  • Lead data strategy sessions and communicate findings and strategies effectively to stakeholders at all levels.
Requirements:
  • Proven experience in data science, with a strong portfolio of projects demonstrating expertise in machine learning, NLP, generative AI, and other listed technologies.
  • Proficient in data engineering tasks, including data cleaning, schema design, and the development of scalable ETL processes.
  • Solid experience with AWS cloud services, particularly Amazon SageMaker, Amazon Redshift, Amazon OpenSearch, and AWS Bedrock; familiarity with Azure or Google Cloud is a plus.
  • Excellent communication and team collaboration skills.
  • Ability to design complex data science architectures and directly implement solutions with a high level of autonomy.
Qualifications:
  • Master's degree in Data Science, Computer Science, Statistics, or a related field.
  • Minimum of 6 years of experience in a data science role.
  • Strong programming skills in Python, R, SQL, and familiarity with API integrations.

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