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Data Science Leadership Role
3 weeks ago
Job Overview:
We are seeking an experienced Data Science Associate Director to lead the development and implementation of cutting-edge machine learning models for the mortgage industry.
- 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 and instruction tuning pre-trained LLMs for mortgage-specific applications.
- Algorithm Implementation: Develop and optimize machine learning algorithms to enhance model performance, accuracy, and efficiency.
Key Responsibilities:
- Collaboration: Work with domain experts to incorporate industry knowledge into model development.
- Experimentation: Conduct experiments to validate model hypotheses, analyze results, and iterate on model improvements.
- Ethics and Bias Mitigation: Ensure responsible AI practices are followed by identifying potential biases in data and models.
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.
Preferred Qualifications:
- Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
- Ethics Awareness: Understanding of ethical considerations in AI development, including bias detection and mitigation.