Staff Data Scientist

About Nayya

Founded in 2019, Nayya is on a mission to connect people’s most important information, so they can thrive in their health and wealth. Powered by AI and advanced analytics, Nayya’s platform transforms complex benefits experiences into intuitive, seamless, and ongoing interactions—meeting people meeting people's real world needs. As a trusted platform and partner to leading employers, benefits solutions, and HR tech providers, Nayya unlocks long-term value through helping employees live more resilient lives. Backed by strategic investors like ICONIQ, Felicis Ventures, SemperVirens, Workday Ventures, MetLife Nextgen Ventures, and ADP Ventures, Nayya is ushering in the future of health and wealth for all.

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 courage—a 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
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• trong communication skills and ability to convey complex technical concepts to non-technical stakeholders
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• amiliarity with cloud platforms (AWS), containerization technologies (Docker), and orchestration tools is a plus
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• xperience with claims data, EHR, or other types of medical data

he 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. 

ayya is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics