Staff Data Scientist

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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

• 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. Partner with Engineering to design architectures and build production-ready systems that leverage agents in our core product features as well as in tools that drive developer productivity

🎯 Requirements

• 7+ years of professional experience solving complex business problems, and shipping/maintaining Python in a production environment • Strong foundation in traditional predictive machine learning (e.g., classification, regression, tree-based models like XGBoost) • Deep professional expertise in at least one of the following two areas: • Optimization: Formulating and solving complex logistical/allocation problems (e.g., linear/integer programming) in a business setting • Agentic AI: Deep technical depth in building, orchestrating, and establishing best practices for agentic systems (e.g., utilizing LLMs for autonomous decision-making and tool-use) • Excellent mathematical and statistical foundations, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience • Ability to manage product ambiguity, seeking clarity when necessary, to ensure that we are solving the right problem and driving measurable outcomes • Clear and persuasive communication skills, both written and verbal, with the ability to translate complex technical concepts for diverse, non-technical stakeholders.

🏖️ 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