About the Role: 

At Nayya we redefine the way businesses leverage data for decision-making and strategy. We're looking for a Staff Data Scientist who is not only passionate about data but also adept at transforming complex, unstructured data sets into actionable insights. In this role, you will work closely with stakeholders to define business requirements, design and implement advanced machine learning systems like recommenders and Natural Language Processing (NLP) models, and take ownership of deploying models into production.  We are looking for an expert who thrives in an environment that values impatience, excellence, resilience, and couragea leader ready to make an immediate impact on our data science efforts in a fast-paced, high-growth environment.

Responsibilities:

• Develop and maintain state-of-the-art machine learning systems, with a focus on recommender systems and Large Language Models (LLM) to enhance user experience, operational efficiency, and risk management.
• Establish rigorous evaluation metrics for AI models and iterate on existing models to improve performance continuously. 
• Deploy AI solutions in real-world applications, ensuring seamless integration with existing systems.
• Monitor and maintain deployed models to ensure ongoing performance.
• Collaborate with cross-functional teams (Product, Engineering, Operations) to understand business requirements and integrate data science insights into our platforms and workflows.
• Continuously explore new data science methodologies and technologies to keep our capabilities cutting-edge.

Requirements:

• 6+ years of experience in machine learning engineering, with significant work on production systems
• Deep expertise in RAG systems, LLMs, Deep Learning, and AI infrastructure
• Experience evaluating AI models for different tasks
• Knowledge of AI safety and responsible AI development
• Experience shipping ML/AI products in healthcare and/or at startups
• Strong proficiency in Python, with extensive background in machine learning libraries (e.g., scikit-learn, PyTorch, transformers), LLM frameworks (LangChain, LlamaIndex, Bedrock) and data science tools (e.g., pandas, NumPy, datasets)
• Knowledge of best practices for monitoring, logging, and maintaining deployed AI systems in production
• Strong communication skills and ability to convey complex technical concepts to non-technical stakeholders
• Familiarity with cloud platforms (AWS), containerization technologies (Docker), and orchestration tools is a plus
• Experience with claims data, EHR, or other types of medical data

The salary range for New York based candidates for this role is $180,000-$250,000. We use a location factor to adjust this range for candidates that are located outside of geographic region of our New York office. Placement within the salary band is determined based on experience.