Description
We are seeking an experienced Lead Data Scientist to drive the development of high-impact, scalable AI solutions for financial markets and professionals.
As an individual contributor Lead Data Scientist, you will develop and deploy production-level AI models using Gen AI capabilities like OpenAI, Gemini, etc. and data-driven solutions that align with strategic business objectives.
Responsibilities:
- Develop and deploy production-level AI models using Gen AI capabilities like OpenAI, Gemini, etc. and data-driven solutions that align with strategic business objectives.
- Tune and optimize AI models to improve their accuracy, efficiency and overall fitness for purpose in various applications.
- Evaluate third-party AI solutions on both functional and non-functional aspects, assessing their suitability based on performance, scalability, and business needs.
- Establish and apply model evaluation and coding standards to maintain production grade code.
- Work closely with business and engineering partners to define project requirements and direction, and establish development roadmaps.
- Develop and deploy AI-powered document intelligence solutions to extract, structure, validate, and generate insights from complex financial documents.
- Design and optimize scalable retrieval and knowledge discovery frameworks using OCR, NLP, semantic search, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) to enable accurate information extraction and analysis.
Requirements:
- 10+ years of extensive experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production.
- Strong data analysis skills, with a foundation in probability, to lead robust model development and interpretation.
- Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn).
- Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery.
- Proven track record to establish and uphold coding standards to ensure high-quality, maintainable code.
- Excellent communication skills for summarizing complex technical concepts clearly and effectively to both technical and non-technical partners.
- Proven experience building production-grade document intelligence solutions for extracting, structuring, and analyzing text-based information from large and complex financial documents using OCR, Intelligent Document Processing (IDP), NLP, information extraction, and Generative AI techniques.
- Hands-on expertise with industry-leading AI and document understanding platforms, frameworks, and tools, including but not limited to OpenAI, Gemini, Claude, Llama, Azure AI Document Intelligence, AWS Textract, Google Document AI, LangChain, LlamaIndex, vector databases, and related technologies.
Benefits:
- High-impact projects: We work on a variety of pioneering AI products and leverage extensive datasets to solve complex, high-value challenges.
- Competitive benefits: You will enjoy a strong compensation package, comprehensive benefits, and ongoing investment in career growth and skill development.
- Industry leadership: This is an opportunity to be a founding member of the organization that’s delivering brand-new products that democratize modeling and analytics solutions.
- Collaborative environment: We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams.