Data Scientist Specialist
1 month ago
We are seeking an experienced Data Scientist to join our team at Tipstat® as a Data Scientist Specialist. This role requires expertise in Large Language Models (LLMs) and financial data modeling. The ideal candidate will combine strong ML/AI capabilities with deep understanding of financial markets and FinTech applications, capable of developing and deploying sophisticated language models and financial prediction systems.
Key Responsibilities:
- Design and implement LLM-based solutions using frameworks like LangChain, handling everything from model training to production deployment
- Develop and optimize open-source LLM models for financial applications
- Create and maintain CI/CD pipelines for ML models, ensuring reliable model deployment and monitoring
- Build and deploy financial prediction models using market data, transaction data, and alternative data sources
- Implement risk assessment and fraud detection models for financial services
- Design and maintain data pipelines for real-time financial data processing
- Collaborate with FinTech product teams to integrate ML solutions into customer-facing applications
- Ensure ML systems comply with financial regulations and security requirements
Required Skills and Qualifications:
- Master's degree or higher in Data Science, Machine Learning, Computer Science, or related field
- 4+ years of professional experience in data science with focus on FinTech or financial services
- Demonstrated experience with:
- LangChain and open-source LLM development
- Model training, fine-tuning, and deployment pipelines
- CI/CD practices for machine learning models
- Financial data modeling and analysis
- Strong programming skills in Python, with expertise in ML frameworks (PyTorch, TensorFlow)
- Proficiency in SQL and experience with financial databases
- Experience with cloud platforms (AWS, GCP, or Azure) for model deployment
Estimated Salary: $120,000 - $180,000 per year
Benefits:
- Competitive salary and benefits package
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment
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