Staff Data Scientist (Generative AI)

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

Job summary

An innovative firm is seeking a Staff Data Scientist to redefine data-driven decision-making. This role involves developing advanced machine learning systems, focusing on recommender systems and large language models. You will collaborate with cross-functional teams to integrate data science insights into business strategies. With a commitment to excellence and resilience, you will lead projects that enhance user experience and operational efficiency in a fast-paced environment. If you're passionate about transforming complex data into actionable insights, this is the opportunity for you.

Qualifications

• 6+ years in machine learning with production systems.
• Expertise in LLMs and AI infrastructure.

Responsibilities

• Develop and maintain machine learning systems for user experience.
• Deploy AI solutions ensuring seamless integration.

Skills

Machine Learning Engineering

Deep Learning

Python

AI Safety

Communication Skills

Tools

scikit-learn

PyTorch

LangChain

AWS

Docker

pandas

NumPy

Job description

Job Description

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'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're seeking a Staff Data Scientist passionate about data and skilled at transforming complex, unstructured data into actionable insights. In this role, you will work closely with stakeholders to define business requirements, design and implement advanced machine learning systems such as recommenders and NLP models, and take ownership of deploying models into production. We value impatience, excellence, resilience, and courage—seeking a leader ready to make an immediate impact in a fast-paced, high-growth environment.

Responsibilities:

1. 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.
2. Establish rigorous evaluation metrics for AI models and iterate to enhance performance continuously.
3. Deploy AI solutions in real-world applications, ensuring seamless integration with existing systems.
4. Monitor and maintain deployed models to ensure ongoing performance.
5. Collaborate with cross-functional teams (Product, Engineering, Operations) to understand business requirements and incorporate data science insights into platforms and workflows.
6. Explore new data science methodologies and technologies to keep capabilities cutting-edge.

Minimum 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
• Experience evaluating AI models for various tasks
• Knowledge of AI safety and responsible AI development
• Experience deploying ML/AI products in healthcare and/or startup environments
• Proficiency in Python, with extensive experience in machine learning libraries (scikit-learn, PyTorch, transformers), LLM frameworks (LangChain, LlamaIndex, Bedrock), and data science tools (pandas, NumPy)
• Knowledge of best practices for 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 types

The salary range for New York-based candidates is $180,000-$250,000. The range may be adjusted for candidates outside this region based on experience.

Nayya is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, medical condition, pregnancy, or other legally protected characteristics.