Staff Data Scientist

Honor Technology; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Honor Technology seeks a senior data scientist to drive data-informed decision making across the organization. You will design and implement predictive models, collaborate with Engineering, PM, and Care Operations to align strategies, and build scalable analytics frameworks that measure impact.

You will also champion LLM-driven workflows and work with the team to deploy production‑ready agentic systems. The role requires deep ML expertise, a strong foundation in optimization or agentic AI, and

Qualifications

• 7+ years of professional experience solving complex business problems.
• Experience shipping and maintaining Python in a production environment.
• Strong foundation in traditional predictive machine learning (classification, regression, XGBoost).
• Deep professional expertise in either Optimization (linear/integer programming) or Agentic AI (LLM orchestration and autonomous decision‑making).
• Degree in a quantitative field such as Computer Science, Mathematics, Statistics, Economics, or Physics.
• Ability to manage product ambiguity and translate complex technical concepts for non-technical stakeholders.

Responsibilities

• Leverage data to solve a wide variety of meaningful, business problems using the appropriate level of technical complexity.
• Partner closely with Engineering, PM, and Care Operations to collaboratively define strategy and execute against it.
• Design and implement robust frameworks and metrics to measure whether data products are functioning as expected and driving business impact.
• Research operational/logistical problems and proactively identify potential solutions.
• Lead the design, implementation, and evaluation of descriptive and predictive models.
• Champion the use of LLM-driven workflows across the company and partner with Engineering to build production‑ready agentic systems.

Skills

Python

Machine Learning

Optimization

Agentic AI

XGBoost

Education

Quantitative degree (CS/Math/Statistics/Economics/Physics)

Tools

AWS

Docker

CI/CD

Job description

About the Company

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults.

Responsibilities

• Leverage data to solve a wide variety of meaningful, business problems using the appropriate level of technical complexity
• Partner closely with Engineering, PM, and Care Operations to collaboratively define strategy and execute against it
• Design and implement robust frameworks and metrics to measure whether data products are functioning as expected and driving business impact
• Research operational/logistical problems and proactively identify potential solutions
• Lead the design, implementation, and evaluation of descriptive and predictive models
• Champion the use of LLM-driven workflows across the company and partner with Engineering to build production‑ready agentic systems

Requirements

• 7+ years of professional experience solving complex business problems
• Experience shipping and maintaining Python in a production environment
• Strong foundation in traditional predictive machine learning (classification, regression, XGBoost)
• Deep professional expertise in either Optimization (linear/integer programming) or Agentic AI (LLM orchestration and autonomous decision‑making)
• Degree in a quantitative field such as Computer Science, Mathematics, Statistics, Economics, or Physics
• Ability to manage product ambiguity and translate complex technical concepts for non-technical stakeholders

Preferred Qualifications

• Experience designing experiments and applying causal inference methods
• Experience developing systems to optimize portfolio allocation in a two-sided marketplace
• Familiarity with modern MLOps, AWS, Docker, or CI/CD pipelines
• Experience working with sensitive data (PII/PHI) in a HIPAA-compliant environment