Staff Data Scientist: End-to-End ML for Personalization

Ethos Life; United States; Remote; USD 127,000 - 224,000; Full time

Job summary

Ethos Life seeks a Staff Data Scientist to own the product modeling roadmap and advance ML across the platform. You will design, build, and deploy production models that power product experiences, coverage recommendations, and routing decisions, collaborating with PMs to define what to model and how to measure success.

The role emphasizes ownership, rigorous uncertainty communication, and the ability to translate model behavior into actionable business guidance for stakeholders.

Qualifications

• 5+ years in data science or ML.
• Strong command of supervised learning and recommender systems; you've shipped production models.
• 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
• Bias toward ownership; you identify what needs to be built before anyone files a ticket
• Recommender systems or personalization at scale
• Marketing mix modeling, media attribution, or incrementality measurement
• Experience in insurtech, fintech, or other regulated industries
• dbt or data pipeline experience
• MLflow, feature stores, or other ML infrastructure tooling
• Gets in the weeds without losing the bigger picture
• Knows the tradeoffs between simple heuristics and ML solutions and picks the right tool for the job
• Aligns model performance metrics to business objectives and combines multiple models into a coherent solution
• Raises the team's data science bar through code review, documentation, and mentorship

Responsibilities

• Own end-to-end lifecycle of ML models powering product experiences.
• Engineer features, prototype experiments, and ship iterative model improvements to production.
• Work with engineering and PMs to define how model scores are consumed in real-time product surfaces

Skills

Python

SQL

Bayesian modeling

Recommender systems

Production ML

Model deployment

Marketing mix modeling

Data storytelling

Cross-functional collaboration

Ownership mindset

Tools

dbt

MLflow

scikit-learn

XGBoost

LightGBM

Job description

Ethos Life seeks a Staff Data Scientist to own the product modeling roadmap and advance ML across the platform. You will design, build, and deploy production models that power product experiences, coverage recommendations, and routing decisions, collaborating with PMs to define what to model and how to measure success.

The role emphasizes ownership, rigorous uncertainty communication, and the ability to translate model behavior into actionable business guidance for stakeholders.