Principal Data Scientist

Grab your cape, become a SuperHyro!

Hyro, the leader in Responsible AI Agents for Healthcare, enables health systems to safely automate workflows and conversations across their most valuable platforms, services, and channels—including call centers, websites, SMS, mobile apps, and more. Hyro's clients, which include Intermountain Health, Baptist Health, and Hackensack Meridian Health, benefit from AI agents that are fully HIPAA-compliant, fast to deploy, easy to maintain, and simple to scale—generating better conversations, successful patient outcomes, and revenue-driving insights.

What Are We Looking For?

We’re searching for a passionate and experienced Principal Data Scientist to join our team.

With a wide array of responsibilities and corresponding impact, you’ll help spearhead our product offering and wear multiple hats at a fast-growing, dynamic, early-stage company.

Responsibilities:

• Develop, implement, and drive design processes and products that incorporate Generative AI (LLMs), models and knowledge Retrieval in order to help patients across the US.
• Be part of a data scientists and ML engineers – review other’s work and get feedback of your suggested solutions.
• Implement data pipelines and evaluation pipelines that are based on Hyro data and product needs
• Build applicative AI in production on a large scale.
• Build solutions for different mediums including voice products with minimal latency and high accuracy.
• Build an internal tool system to allow scientific evaluation.
• Continuously improve our existing NLP capabilities to help patients across the US answer any question, schedule appointments with their doctor, refill their prescriptions, and much more.
• Use best practices and SOTA from the AI industry but also push the envelope to new heights.
  
  

• At least 4 years of experience as a Data Scientist.
• At least 2 years of experience with building ML or LLM-based applications in production.
• At least 5 years of Python or equivalent programming experience.
• Bachelor’s or a master's degree in computer science, data science, or equivalent field.
• Experience with common data science toolkits, such as Pandas, Scikit-learn, Tensorflow, and more.
• High-level applied statistics skills, such as distributions, statistical testing, etc.
• Experience in data mining and insight drawing from large data sets.
• Data-oriented personality, analytical mind, and problem-solving aptitude.
• Experience in Constraint programming or Network science - an advantage.
• Knowledge in MLOps - bonus.
• Team player with a positive and fun attitude.
• Strong interpersonal, leadership, and communication skills.
• Capacity to work in a fast-changing environment.
• Experience designing, building, and operating large systems with scalability, availability, testing, and performance requirements.