Staff Data Scientist, Honor
$191.7-225k
+ Equity
In-home care network
Be an early applicant
In-home care network
501-1000 employees
Be an early applicant
$191.7-225k
+ 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
- Excellent communication skills with both technical and non-technical peers
- Excellent mathematical and statistical fundamentals, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience
- Wide-ranging professional experience solving complex business problems, and shipping/maintaining Python in a production environment
- 5+ years of industry experience
- Aptitude to rapidly iterate and deliver technical solutions that maximize business impact
- Expertise with numerical software packages such as NumPy, scikit-learn, pandas, TensorFlow, or PyTorch
- Experience with LLMs and NLP techniques such as fine-tuning models, RAG (retrieval-augmented generation), and vector embeddings
- Strong experience developing and maintaining machine learning models in production, including API development, scaling, and monitoring
- Ability to manage product ambiguity, seeking clarity when possible
- Are accountable end-to-end for your own projects, through planning, deployment, maintenance, and monitoring. You spot and address potential issues early
Desirable
- LLM optimization (e.g., prompt engineering, fine-tuning, parameter-efficient tuning techniques)
- Designing systems to optimize portfolio allocation in a two-sided marketplace (E.g., matching demand & supply, automated financial incentives, hiring needs, demand forecasting)
- Using survival analysis and related methods to evaluate employee churn risk and predict future high-performers
- Using NLP methods to build data products from unstructured sources (phone calls, website forms, internal documentation, etc.)
- Applying spatial statistics to incorporate geographic and regional differences in various problem contexts
- Experience deploying ML & LLM models on cloud platforms (AWS, GCP, or Azure)
What the job involves
- We’re looking for data scientists to join our team. You'll develop statistical, machine learning, and large language models (LLMs) to improve our operations platform and help us provide a better service to our clients
- We're looking for generalist data scientists who are excited to jump into new problems, work cross-functionally, and write production-quality code
- Leverage data to solve meaningful problems with appropriate complexity
- Collaborate with a diverse team across engineering, PM, design, and operations to define a strategy and execute against it
- Research operational/logistical problems and proactively identify potential solutions
- Lead the design, implementation, and evaluation of descriptive, predictive, and generative models
- Integrate machine learning and LLMs into user-facing applications to improve automation and personalization
- Mentor and provide technical oversight on teammates' projects throughout the project lifecycle
- Design and deploy LLM-powered solutions for text summarization, automation, and insights from unstructured data
- Collaborate with product managers to develop AI-driven features that enhance decision-making and user experience
- Work with MLOps engineers to scale, fine-tune, and optimize LLMs for efficiency and cost-effectiveness
- Translate business objectives into machine learning solutions, ensuring alignment with stakeholder needs
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 revolutionizing how society cares for older adults. Powering over 1 million hours of care each week and with a number of key leadership hires announced over 2024, Honor is well set to see continued growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
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 values
- We Value People - Everything we do revolves around people
- Care Starts With Connection
- Great Solutions Demand Empathy
- When You Grow, We Grow
- Our Differences Propel Us
Company HQ
Yerba Buena, San Francisco, CA
Articles
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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