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Accountabilities:
- Lead predictive analytics initiatives to identify trends and optimization opportunities.
- Design research workflows for data-intensive and AI-driven applications.
- Own model development end-to-end, including deployment and optimization.
Requirements:
- Extensive experience as a Senior Data Scientist in brokerage or financial services.
- Expert proficiency in Python and industry-standard libraries.
- Strong background in supervised and unsupervised learning, deploying models in production.
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