Get an instant life insurance quote online today! Ethos makes life insurance easy by offering you a dependable quote in seconds. Backed by General Catalyst and Sequoia.
About the role
We're looking for a Staff Data Scientist to own the product modeling roadmap and contribute to marketing measurement. You'll design, build, and deploy production ML models, partnering closely with PMs to scope and prioritize. The right candidate defines what to model before anyone asks, stress-tests their own assumptions, and communicates uncertainty in terms stakeholders can act on. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years in data science or ML at established firms or high-growth tech
- Strong command of supervised learning and recommendation systems, you've shipped production models, not just notebooks
- Proficiency in Python (pymc, scikit-learn, XGBoost/LightGBM) and SQL
- Hands-on Bayesian experience: prior elicitation, posterior inference, and experiment design
- Experience deploying production models integrated with consumer-facing products
- Strong communication skills, able to translate model behavior and uncertainty into stakeholder recommendations
More about this role
Ethos (Nasdaq: $LIFE) is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale. With its robust three-sided technology platform, Ethos is transforming the life insurance experience for consumers, agents, and carriers alike. Ethos offers instant, accessible products and a seamless online process that requires no medical exams and just a few health questions; it eliminates traditional barriers, making it easier than ever for everyone to protect their families. Ethos is redefining how life insurance is bought, sold, and underwritten.
We're looking for a Staff Data Scientist to own the product modeling roadmap and contribute to marketing measurement. You'll design, build, and deploy production ML models, partnering closely with PMs to scope and prioritize. The right candidate defines what to model before anyone asks, stress-tests their own assumptions, and communicates uncertainty in terms stakeholders can act on.
- Own the end-to-end lifecycle of ML models powering product experiences, coverage recommenders, user-to-channel routing, and agent assignment logic
- Engineer features, prototype...
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