Leading Data Scientist for AI Development
hace 3 días
**About Us**
RavenPack is at the forefront of developing next-generation generative AI tools for finance and beyond. With 20 years of experience as a leading big data analytics provider, we empower clients to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows.
We're launching a new suite of GenAI and SaaS services designed specifically for financial professionals. RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and included in this year's Top 100 Next Unicorns by Viva Technology.
You will be working on Bigdata.Com, a platform transforming financial decision-making. We're seeking a Senior Data Scientist to drive the development and refinement of Structured Data Agents.
Key Responsibilities:
- Dataset Exploration: Understand new datasets, including corner cases and nuances, to optimize their use in AI systems.
- Design workflows for integrating and validating structured data.
- Specification & Validation: Write detailed specifications for structured data agents aligned with business goals.
- Design and execute testing protocols for data validation and QA, resolving inconsistencies.
- Development & Integration: Contribute high-quality Python code to structured data agent pipelines.
- Integrate LLMs for structured data processing and dynamic problem-solving.
- Collaboration & Communication: Work cross-functionally with Data Engineering, Product, and QA teams.
Qualifications Required Skills:
- Proficiency in Python for data processing and AI development.
- Experience with LLMs, including fine-tuning and applying them to structured data.
- Expertise in handling large-scale structured datasets (SQL) and validation processes.
- Experience with cloud platforms (AWS, SnowFlake) and collaborative tools (git).
The ideal candidate will excel in mastering new datasets, understanding their nuances, and contributing meaningfully from day one. This role requires expertise in data science methodologies, advanced Python development, and experience working with large language models (LLMs). You should have excellent communication skills and the ability to contribute immediately.
A Master's degree in Data Science, Computer Science, Engineering or Finance-related fields (PhD preferred) and 4+ years of experience in data science are required. The estimated salary for this position is $120,000 - $180,000 per year, depending on qualifications and experience. Join us to power the future of finance with AI
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