Senior Manager, Data Science

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Honor

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

⚕️ Healthcare Insurance

🧘 Wellness

👥 B2C

Healthcare Insurance • Wellness • B2C

Honor is a leader in the world's largest home care network with a highly advanced care platform. The company is revolutionizing the way society cares for older adults, providing them, their families, and Care Professionals with innovative support. Honor aims to expand the world's capacity to care by addressing the challenges of a growing aging population, enabling older adults to age at home on their own terms. Through its flagship brand, Home Instead, and the Honor Care Network, the company operates globally, offering solutions to ensure professional and high-quality home care services. Honor develops technologies that professionalize care providers, enhance relationships between clients and caregivers, and streamline care operations, creating a better aging experience for everyone.

📋 Description

• Lead the development of models and decision systems that improve how Honor matches caregivers and clients, constructs sustainable schedules, allocates capacity, prioritizes operational work, and responds to changing conditions. • Your team will work directly with Product, Engineering, and Care Operations to turn difficult operating problems into production systems that improve measurable outcomes. • Contribute to Honor’s broader Data Science and Applied AI direction. • Help shape the team’s roadmap and remain hands-on as a player-coach. • 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.

🎯 Requirements

• 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.

🏖️ 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