Staff Data Scientist (Generative AI)

Nayya; New York (NY); On-site; USD 180,000 - 250,000; Full time

Job summary

An innovative firm is on a mission to redefine data utilization in decision-making. As a Staff Data Scientist, you'll transform complex data into actionable insights, leveraging cutting-edge machine learning systems. This role offers the chance to work with advanced AI technologies, including recommender systems and NLP models, in a fast-paced environment. Collaborate with cross-functional teams to enhance user experience and operational efficiency. Join a forward-thinking company that values resilience and courage, and make a significant impact in the realm of health and wealth.

Qualifications

• 6+ years in machine learning engineering with production systems.
• Deep expertise in LLMs and AI infrastructure.

Responsibilities

• Develop and maintain machine learning systems focusing on user experience.
• Monitor and maintain deployed models for ongoing performance.

Skills

Machine Learning Engineering

Deep Learning

Natural Language Processing (NLP)

Python

Data Science Tools (pandas, NumPy)

AI Safety

Strong Communication Skills

Tools

scikit-learn

PyTorch

LangChain

LlamaIndex

Bedrock

AWS

Docker

Job description

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's real-world needs. As a trusted platform and partner to leading employers, benefits solutions, and HR tech providers, Nayya unlocks long-term value by 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 shaping the future of health and wealth for all.

About the Role:

At Nayya, we redefine how businesses leverage data for decision-making and strategy. We are seeking a Staff Data Scientist passionate about transforming complex, unstructured data into actionable insights. You will work closely with stakeholders to define requirements, design, and implement advanced machine learning systems such as recommenders and Natural Language Processing (NLP) models, and oversee their deployment into production. We value impatience, excellence, resilience, and courage—seeking a leader who can make an immediate impact in a fast-paced, high-growth environment.

Responsibilities:

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

Requirements:

• 6+ years of experience in machine learning engineering, with significant experience in production systems.
• Deep expertise in RAG systems, LLMs, Deep Learning, and AI infrastructure.
• Knowledge of AI safety and responsible AI development.
• Experience shipping ML/AI products in healthcare and/or startups.
• Proficiency in Python and machine learning libraries (scikit-learn, PyTorch, transformers), LLM frameworks (LangChain, LlamaIndex, Bedrock), and data science tools (pandas, NumPy).
• Knowledge of monitoring, logging, and maintaining AI systems in production.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.
• Familiarity with cloud platforms (AWS), containerization (Docker), and orchestration tools is a plus.
• Experience with claims data, EHR, or other medical data is preferred.

The salary range for New York-based candidates is $180,000-$250,000. Compensation for other locations is adjusted based on the geographic region. Placement within the band depends on experience.

Nayya is an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related conditions), sexual orientation, gender identity/expression, age, veteran status, disability, or other protected characteristics.

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