Data Scientist - NLP, LLM, and GenAI (Student Worker: PT / FT)

The Opportunity 

Nasdaq's Data Product Development group specializes in creating unique and insightful data products. Utilizing data from both internal and external sources, we deliver innovative products that power some of the world’s most successful organizations. 

We’re currently seeking a Data Scientist - NLP, LLM, and GenAI (student) to join our team and to help create new products and services powered by modern AI technologies, including Large Language Models (LLM). The ideal candidate is autonomous, creative, and laser-focused on driving tangible business value through their ingenuity.

Please note that this is a contract role that ends September 30, 2024 and that we're considering candidates for both part-time and full-time employment (with preference to full-time).

The Role 

• Collaborate with Product, Data, and Technology teams to design and create new products and services powered by AI 

• Work alongside a team of data scientists in applying state-of-the-art LLMs from OpenAI, Anthropic, Meta, and Mistral to address the unique challenges of financial data 

• Assess the quality and robustness of your solutions and iterate to optimize performance 

• Apply best practices of MLOps / LLMOps in deploying new products and services to production 

Qualifications and Skills 

• 1+ years of experience processing structured and unstructured data using NLP 

• Solid understanding of NLP and related concepts such as vectorization, entity recognition, semantic search, and so forth 

• Demonstrated experience applying LLMs to solve real-world, industry problems 

• Experience with RAG and LLM fine-tuning is a strong plus 

• Python experience is required, AWS/FastAPI/Gradio/Docker is a plus

• Passionate about Generative AI, consistently tracking the latest industry developments 

• Bachelors Degree in Computer Science, Computer Engineering, or related discipline 

Benefits and Perks 

• Competitive salary and incentives 

• Engaging and impactful work 

• Smart, motivated, and talented colleagues 

• Health benefits for you and your family 

• Choice of hardware, software, and work setup 

• Hybrid work schedule 

*** This is a contract role for immediate hire with a scheduled end date of September 30th, 2024 ***