Staff Data Scientist
Join Honor as a Staff Data Scientist to leverage data and AI in transforming aging care for older adults.
Posted by employer 4 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Champion the use of LLM-driven workflows across the company.
Requirements
- Experience
- 7+ years
- Education
- Bachelor's degree
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Staff Data Scientist at Honor, the individual will tackle diverse business challenges by leveraging data and collaborating with cross-functional teams. Key skills include expertise in agentic AI or optimization algorithms, along with a strong foundation in machine learning and Python. This position is ideal for seasoned professionals with over seven years of experience who can navigate complex problems and communicate effectively with both technical and non-technical stakeholders. Honor's commitment to innovation in aging care provides a unique backdrop for impactful work.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Honor's career page.
- Honor has 15 other open roles including Director, Risk & Compliance Operations, Home Care Sales Representative , Inside Sales Manager.
- 6517 active Python roles on Joblaze right now.
- 798 active Machine Learning roles on Joblaze right now.
- 41 active Agentic AI roles on Joblaze right now.
- Salary band is above the typical range for Data Science roles (median ~$164,695).
- Pays more than 77% of the 3224 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- Is the Staff Data Scientist role remote?
- Yes — Honor lists this as a fully remote position.
- What's the salary range?
- Honor lists $194,400–$216,000 for this role.
- How much experience is required?
- At least 7 years of relevant experience for this Staff Data Scientist role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Agentic AI, Machine Learning, Python, optimization algorithms.
- What seniority level is this role?
- Honor targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Data Scientist role at Honor.
From the original posting
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.
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.
Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.
About the role:
We’re looking for Data Scientists 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.
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.
About the work:
- 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.
About you:
- 7+ years of professional experience solving complex business problems, and shipping/maintaining Python in a production environment.
- 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.
- 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). You have concrete experience building agentic workflows that drive business impact.
- You set success metrics upfront and proactively investigate how your technical solutions influence overarching business goals.
- Excellent mathematical and statistical foundations, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience.
- You are able to manage product ambiguity, seeking clarity when necessary, to ensure that we are solving the right problem and driving measurable outcomes.
- You rapidly iterate and deliver technical solutions that maximize business impact.
- Clear and persuasive communication skills, both written and verbal, with the ability to translate complex technical concepts for diverse, non-technical stakeholders.
You are accountable end-to-end for the entire project lifecycle. You proactively anticipate and drive resolution for potential issues across dependencies.
Bonus points if you have professional experience with:
- Experience designing experiments and applying causal inference methods to rigorously determine business impact.
- 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).
- Familiarity with modern MLOps practices, cloud platforms (AWS), containerization (Docker), or CI/CD pipelines.
- Experience working with sensitive data, including PII or PHI, within a strict, HIPAA-compliant environment.
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.
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.
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.
At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role.
Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.