Senior Data Scientist
Confirmed live in the last 24 hours
Nayya

51-200 employees

Personalized employee benefits platform
Company Overview
Nayya stands out as a leader in the benefits experience sector, leveraging machine learning and billions of data points to provide personalized decision support for employees, thereby optimizing health and financial benefits selection. The company's platform simplifies complex processes such as open enrollment, new employee onboarding, and qualifying life events, leading to significant cost and time savings for both employers and employees. Nayya's commitment to transparency and individualized support has proven effective in improving benefits communication and reducing HR workload, as evidenced by positive feedback from large-scale employers.
Data & Analytics
AI & Machine Learning
B2B

Company Stage

Series C

Total Funding

$111.4M

Founded

2019

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

7%

1 year growth

28%

2 year growth

16%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
AWS
CategoriesNew
Data Science
Data & Analytics
Requirements
  • 5+ years of experience developing and deploying scalable machine learning solutions, with a focus on recommender systems or NLP
  • Strong proficiency in Python, with a strong grasp of machine learning libraries and tools (e.g., TensorFlow, Pytorch and/or sklearn)
  • Knowledge of best practices for monitoring, logging, and maintaining deployed AI systems in production
  • Excellent problem-solving skills and the ability to work independently on complex tasks
  • 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 (Kubernetes) is a plus
  • Proven expertise in Retrieval Augmented Generation (RAG) through Large Language Models (LLMs) is a plus
Responsibilities
  • Develop and maintain state-of-the-art machine learning systems, with a focus on recommender systems and/or Natural Language Processing (NLP), 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.