Staff Data Scientist

Honor exists to expand the world’s capacity to care.

We’re combining high tech with high-touch to deliver better home care for aging adults, better jobs for Care Professionals, and entirely new offerings to support the aging journey, at scale. 

Founded in 2014, and now a Series E funded “Unicorn” valued at over $1B, Honor leads the world’s largest home care network with the most advanced care platform. Our August 2021 acquisition of Home Instead has created a global company that’s revolutionizing how society cares for older adults, their families, and Care Professionals.

The Honor Care Platform combines local care and the most advanced technology to bring the highest quality care to more aging adults. 

Grow at Honor as part of a united team where everyone shows up authentically, shares ideas bravely, and solves complex problems! 

About the Work:

We’re looking for data scientists to join our team. You'll develop statistical, machine learning, and large language models (LLMs) to improve our operations platform and help us provide a better service to our clients. We're looking for generalist data scientists who are excited to jump into new problems, work cross-functionally, and write production-quality code.

About the Work:

• Leverage data to solve meaningful problems with appropriate complexity.
• Collaborate with a diverse team across engineering, PM, design, and operations to define a strategy and execute against it.
• Research operational/logistical problems and proactively identify potential solutions.
• Lead the design, implementation, and evaluation of descriptive, predictive, and generative models.
• Integrate machine learning and LLMs into user-facing applications to improve automation and personalization.
• Mentor and provide technical oversight on teammates' projects throughout the project lifecycle.
• Design and deploy LLM-powered solutions for text summarization, automation, and insights from unstructured data.
• Collaborate with product managers to develop AI-driven features that enhance decision-making and user experience.
• Work with MLOps engineers to scale, fine-tune, and optimize LLMs for efficiency and cost-effectiveness.
• Translate business objectives into machine learning solutions, ensuring alignment with stakeholder needs.

About You:

• Excellent communication skills with both technical and non-technical peers.
• Excellent mathematical and statistical fundamentals, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience.
• Wide-ranging professional experience solving complex business problems, and shipping/maintaining Python in a production environment.
• 5+ years of industry experience.
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