Note: The job is a remote job and is open to candidates in USA. Honor is a leader in aging care innovation, providing technology and services that empower older adults to live independently. The Senior Manager, Data Science will lead a team in applying advanced data science and AI to tackle operational challenges, improving caregiver-client matching and scheduling systems.
Responsibilities
- 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
Skills
- 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. It requires clear objectives, reliable data and tools, rigorous evaluation, thoughtful system design, and appropriate human oversight
- 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. You are willing to inspect the data, understand the workflow, prototype solutions, and revise your view
- Are an effective people leader who can set clear expectations, develop talent, prioritize work, and build a strong technical culture
- Experience with marketplace, logistics, workforce, scheduling, healthcare, or other complex operating systems is especially valuable
- Experience with optimization, forecasting, recommender systems, causal inference, agentic systems, or AI evaluation
- A bachelor's, master's, or doctoral degree in a quantitative or technical field is welcome
Benefits
- Generous equity packages that increase with position level and responsibilities
- 401K with up to a 4% employer match
- Medical, dental and vision coverage including zero cost plans for employees
- Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option
- Generous time off program
- Mental health benefits
- Wellness program
- Discount program
Company Overview
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