Senior Manager of Data Science, Honor
$228.6-254k
+ Equity
In-home care network
Be an early applicant
In-home care network
501-1000 employees
Be an early applicant
$228.6-254k
+ Equity
501-1000 employees
Company mission
To change the care industry by building the first-of-its-kind care network and expand the world’s capacity to care.
Role
Who you are
- 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
What the job involves
- We are looking for a Senior Manager, Data Science to lead a team applying advanced data science and AI to some of Honor’s most important operational challenges
- You will 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
- This is not an analytics support role. Your team will work directly with Product, Engineering, and Care Operations to turn difficult operating problems into production systems that improve measurable outcomes
- You will 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
- 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
- Examples of problems you may solve:
- Improving caregiver-client matching while balancing fit, continuity, availability, and travel
- Building more reliable and sustainable schedules for caregivers and clients
- Using data science and AI to identify operational risks earlier and help teams focus where they can have the greatest impact
Our take
Longer life expectancy and an aging population has resulted in the significant growth of the home-based care industry, as nearly 90% of people over the age of 50 wish to live in their homes as long as possible.
Honor is a technology-enabled home care company that partners with local care agencies, who leverage its infrastructure to handle back-office functions such as billing, scheduling, and staffing. The company currently provides non-medical home care services to people across the United States, supporting over 100,000 care professionals.
Boasting the world's largest home care network, the company's advanced care platform is revolutionising how society cares for older adults. Powering over 1 million hours of care each week and with several key leadership hires announced over 2024, Honor is well set to see continued growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2021
$70m
SERIES E
Oct 2020
$140m
SERIES D
Total funding: $322m
Company benefits
- Remote-First Work Model
- Company Equity
- Comprehensive Benefits - Including Health, Mental Health, Dental, Vision, and Life Insurance for You and Your Family
- 401k Matching
- Generous Vacation Policy
- Corporate Giving & Volunteering Programs
- Paid Parental Leave
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Seth Sternberg
(Co-Founder & CEO)Studied at Yale and has an MBA from Stanford. Started out as an M&A Lead at IBM, and co-founded Meebo in 2005. Was a Product Management Director at Google.
Sandy Jen
(Co-Founder)Studied Computer Science at Stanford and co-founded Meebo, acting as its CTO. Was an Engineering Manager at Google, and is also a current Board Member of Ultimate Impact.
Monica Lo
(Co-Founder & Strategy & Operations)Studied at Dartmouth, Stanford and Harvard Kennedy. Was an Associate at A.T. Kearney and Manager of Strategic Initiatives at Safeway.
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