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Lead Data Scientist

2 weeks ago

Thoothukudi, Tamil Nadu, India beBeeData Full time ₹ 5,00,000 - ₹ 5,50,000
Lead Data Scientist Position

We are seeking a highly skilled Lead Data Scientist to join our team.

About the Role:

This is an exciting opportunity for an experienced data scientist to lead the development of machine learning models that drive business growth and improve decision-making capabilities.

  • Main Responsibilities:
  • Data Analysis: Analyze diverse datasets relevant to the mortgage industry, ensuring data quality and relevance for model training.
  • Model Development: Research and implement state-of-the-art NLP models, focusing on pre-training as well instruction tuning pre-trained LLMs for mortgage-specific applications.
  • Algorithm Implementation: Develop and optimize machine learning algorithms to enhance model performance, accuracy, and efficiency.
  • Collaboration: Work with domain experts to incorporate industry knowledge into model development, ensuring outputs are relevant and actionable.
  • Experimentation: Conduct experiments to validate model hypotheses, analyze results, and iterate on model improvements.
  • Documentation: Maintain comprehensive documentation of methodologies, experiments, and results to support transparency and reproducibility.
Requirements:
  • Technical Expertise:
  • Strong background in machine learning, deep learning, and NLP. Proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch.
  • NLP Knowledge: Experience with NLP frameworks and libraries (e.g., Hugging Face Transformers) for developing language models.
  • Data Handling: Proficiency in handling large datasets, feature engineering, and statistical analysis.
  • Problem Solving: Strong analytical skills with the ability to solve complex problems using data-driven approaches.
  • Communication: Excellent communication skills to effectively collaborate with technical teams and non-technical stakeholders.
Favourite Skills:
  • Dream Team Members:
  • Cloud Computing: Familiarity with cloud platforms (e.g., AWS, Azure) for scalable computing solutions.
  • Ethics Awareness: Understanding of ethical considerations in AI development, including bias detection and mitigation.

Send your resume to us and let's get started.