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Data Scientist

2 - 4 years

7 - 11 Lacs

Posted:2 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are looking for a highly skilled Data Scientist with 2 to 4 years of experience to join our team in Gurugram. The ideal candidate will have a strong background in statistics, mathematics, computer science, or another quantitative field.
Roles and Responsibility
  • Participate and collaborate with operation teams to understand business requirements and deliver scalable solutions.
  • Conduct thorough research on state-of-the-art generative AI techniques and apply them to enhance LLM models.
  • Create models using Classification and Regression techniques and perform Hypothesis Testing and Feature selection.
  • Analyze user behavior, conversion data, and customer journeys to generate hypotheses and build optimization plans.
  • Mine and analyze data from company databases to drive product development and business strategy improvements.
  • Perform deep dive analyses on key business trends and package insights into easily consumable presentations and documents.
  • Job
  • Education in Statistics, Mathematics, Computer Science, or another quantitative field.
  • Experience using computer languages (Python, SQL) to manipulate data and draw insights from large datasets.
  • Proficiency in working with Large Language Models (LLMs), such as GPT-3, GPT-4, or similar models.
  • Strong programming skills in Python and experience with deep learning libraries/frameworks (e.g., TensorFlow, PyTorch).
  • Effective communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
  • Familiarity with natural language processing (NLP) and understanding of various NLP tasks is a plus.
  • Prior experience in handling LLM use cases or working with large-scale language models is highly desirable.
  • Ensure data quality and integrity through best practices and compliance to framework, architecture, and coding standards.
  • Experience with cloud computing platforms (preferably Azure) for deploying and managing machine learning models.
  • Hands-on experience with generative AI models and techniques such as GANs, VAEs, and transformer models.
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