Senior Manager, Data Science

Honor Technology’s mission is to change the way society cares for older adults.

As a Senior Manager, Data Science, you will lead a team applying advanced data science and AI to some of Honor’s most important operational challenges.

What you’ll do

• Help shape the Data Science and Applied AI roadmap, identifying where predictive modeling, optimization, experimentation, forecasting, causal inference, and modern AI can create the greatest impact.
• Lead the development of production models and decision-support systems that improve matching, scheduling, operational prioritization, and service reliability.
• Apply modern AI, including agentic workflows, to improve how teams analyze information, make decisions, and execute operational work.
• Partner with Product, Engineering, and Operations from problem definition through deployment, adoption, and iteration.
• Establish strong standards for evaluating, monitoring, and responsibly deploying machine learning and AI-enabled systems.
• Lead, coach, and grow the team while remaining hands-on in high-priority projects as a player-coach.

Examples of problems you may solve

• Improving caregiver-client matching while balancing fit, continuity, availability, and travel.
• Building more reliable and sustainable schedules for caregivers and clients.
• Using data science and AI to identify operational risks earlier and help teams focus where they can have the greatest impact.

About you

• 7+ years of experience in data science, machine learning, operations research, applied AI, or a related field, including 3+ years leading teams.
• Have built or led the development of models or decision systems that operated in production and influenced meaningful business or customer outcomes.
• Can determine whether a problem calls for prediction, optimization, experimentation, simulation, workflow redesign, an AI agent, or no model at all.
• Understand that successful applied AI requires more than choosing a model.
• Experience partnering with Product, Engineering, Operations, and senior business stakeholders on ambiguous, cross-functional problems.
• Comfortable working with imperfect operational data while maintaining a high standard for measurement and technical rigor.
• Can communicate clearly with technical, operational, and executive audiences.
• Have a bias toward action and an iterative approach to problem-solving.
• Are an effective people leader who can set clear expectations, develop talent, prioritize work, and build a strong technical culture.

Helpful experience

Experience with marketplace, logistics, workforce, scheduling, healthcare, or other complex operating systems is especially valuable, as is experience with optimization, forecasting, recommender systems, causal inference, agentic systems, or AI evaluation.

Benefits

• Base pay: $228,600-$254,000 USD
• Generous equity packages
• 401K with up to a 4% employer match
• Medical, dental and vision coverage
• Short Term Disability, Long Term Disability and Life Insurance
• Generous time off program
• Mental health benefits
• Wellness program
• Discount program