
Senior Data Modeler
7 days ago
We are seeking a skilled Senior Data Modeler to develop and implement advanced statistical models, machine learning algorithms, and AI applications. This individual will play a critical role in driving data-driven decision-making and staying ahead of the competition.
Key Responsibilities:
- Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets, developing actionable insights to inform business strategies.
- Design, develop, and implement advanced statistical models, machine learning algorithms, and AI applications using large language models such as GPT-3 and BERT.
- Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.
Qualifications and Skills:
- Minimum Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
- Experience in data science, machine learning, AI applications, and generative AI modeling.
- Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.
- Proficient in statistical modeling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks.
Preferred Qualifications/Skills:
- Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.
- Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance.
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