Director of Data Insights
1 day ago
Job Summary:
We are seeking a seasoned Director of Data Science to join our team. As a key member of our organization, you will be responsible for leading data-driven initiatives and developing strategies to drive business growth.
In this role, you will work closely with cross-functional teams to analyze complex data sets, identify trends, and develop predictive models to inform business decisions. You will also be responsible for collaborating with domain experts to incorporate industry knowledge into model development, ensuring outputs are relevant and actionable.
The ideal candidate will have a strong background in machine learning, deep learning, and natural language processing, with experience working with large datasets and cloud computing platforms. They will also possess excellent communication skills, with the ability to effectively collaborate with technical and non-technical stakeholders.
Key Responsibilities:- 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.
- Ethics and Bias Mitigation: Ensure responsible AI practices are followed by identifying potential biases in data and models, implementing strategies to mitigate them.
- 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.
- Educational Background: Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
- 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.
Contact us at 7386691110
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