Honor Education is a mobile-first learning platform that uses connective AI, personalization, real-time analytics, social annotation, and seminar-style peer interaction to deliver credentialed, partner-branded courses with integrated verified certificates.
<div class="content-intro"><p>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. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually.</p> <p>Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms.</p> <p>Join us to create a new and better aging experience for our clients, their families, and our Care Professionals. </p></div><p><strong>About the role: </strong></p> <p>We’re looking for <strong>Data Scientists</strong> to join our team. In this role, you will serve as a versatile generalist data scientist who can help guide our company's adoption of agentic AI development. </p> <p>As we rapidly integrate new technologies into our platform, practical applied experience in the AI space is a baseline requirement for our team. Building on that foundation, we are looking for a candidate who brings expertise in either Agentic AI OR Optimization Algorithms.</p> <p><strong>About the work:</strong></p> <ul> <li>Leverage data to solve a wide variety of meaningful, business problems using the appropriate level of technical complexity.</li> <li>Partner closely with Engineering, PM, and Care Operations to collaboratively define strategy and execute against it.</li> <li>Design and implement robust frameworks and metrics to measure whether data products are functioning as expected and driving business impact. </li> <li>Research operational/logistical problems and proactively identify potential solutions.</li> <li>Lead the design, implementation, and evaluation of descriptive and predictive models.</li> <li>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.</li> </ul> <p><strong>About you: </strong></p> <ul> <li>7+ years of<strong> </strong>professional experience solving complex business problems, and shipping/maintaining Python in a production environment.</li> <li>You possess a strong foundation in traditional predictive machine learning (e.g., classification, regression, tree-based models like XGBoost) and know when to use standard models versus LLMs.</li> <li>Deep professional expertise in <strong>at least one</strong> of the following two areas:</li> <ul> <li><strong>Optimization:</strong> Formulating and solving complex logistical/allocation problems (e.g., linear/integer programming) in a business setting.</li> <li><strong>Agentic AI:</strong> Deep technical depth in building, orchestrating, and establishing best practices for agentic systems (e.g., utilizing LLMs for autonomous decision-making and tool-use). You have concrete experience building agentic workflows that drive business impact.</li> </ul> </ul> <ul> <li>You set success metrics upfront and proactively investigate how your technical solutions influence overarching business goals. </li> <li>Excellent mathematical and statistical foundations, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience.</li> <li>You are able to manage product ambiguity, seeking clarity when necessary, to ensure that we are solving the right problem and driving measurable outcomes.</li> <li>You rapidly iterate and deliver technical solutions that maximize business impact.</li> <li>Clear and persuasive communication skills, both written and verbal, with the ability to translate complex technical concepts for diverse, non-technical stakeholders.</li> </ul> <p><strong>You are accountable end-to-end for the entire project lifecycle. You proactively anticipate and drive resolution for potential issues across dependencies.</strong></p> <p><strong>Bonus points if you have professional experience with: </strong></p> <ul> <li>Experience designing experiments and applying causal inference methods to rigorously determine business impact.</li> <li>Experience developing systems to optimize portfolio allocation in a two-sided marketplace (e.g., ideal matches of people needing and providing care, hiring needs, demand forecasting).</li> <li>Familiarity with modern MLOps practices, cloud platforms (AWS), containerization (Docker), or CI/CD pipelines.</li> <li>Experience working with sensitive data, including PII or PHI, within a strict, HIPAA-compliant environment.</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><em><span style="font-weight: 400;">Our range reflects the hiring range for this position. We use national average to determine pay as we are a remote first company. Individual pay is based on a number of factors including qualifications, skills, experience, education, and training.<br></span></em></p> <p><em><span style="font-weight: 400;"><br>Base pay is just a part of our total rewards program. Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match.<br></span></em><em><span style="font-weight: 400;">We provide 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. We offer a generous time off program, mental health benefits, wellness program, and discount program.</span></em></p> <p><em><span style="font-wei