Data Science Director

5 days ago

Aurangabad, Maharashtra, India beBeeMachine Full time ₹ 50,000 - ₹ 55,000
Job Title: Data Science Director

We are seeking a seasoned professional to lead our data science initiatives.

The ideal candidate will have expertise in developing and implementing advanced analytics solutions using natural language processing techniques, focusing on mortgage-specific applications.

  • Data Analysis and Preprocessing: Analyze and preprocess diverse datasets relevant to the mortgage industry, ensuring data quality and relevance for model training.
  • Model Development and Fine-Tuning: Research and implement state-of-the-art NLP models, focusing on pre-training as well instruction tuning pre-trained LLMs for mortgage-specific applications. Utilize techniques like RLHF to improve model alignment with human preferences and enhance decision-making capabilities.
  • Algorithm Implementation: Develop and optimize machine learning algorithms to enhance model performance, accuracy, and efficiency. Experiment with different architectures and open-source models to identify the best fit for project requirements.
  • 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.
Responsibilities:
  1. Analyze and preprocess large datasets for model training
  2. Develop and fine-tune NLP models for mortgage applications
  3. Implement machine learning algorithms for enhanced model performance
  4. Collaborate with experts to ensure model relevance and actionability
  5. Conduct experiments and maintain documentation
Requirements:

Our ideal candidate will possess a strong background in data science, with expertise in NLP and machine learning.

They will be able to analyze complex data sets, develop and train models, and implement algorithms to drive business outcomes.

A bachelor's degree in computer science, mathematics, or a related field is required, along with 5+ years of experience in a similar role.

Candidates should also have excellent communication and collaboration skills, as they will work closely with cross-functional teams to drive project success.

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