Staff Data Scientist: Production ML & Personalization

Bazeta; California; Sur place; USD 127 000 - 224 000; Plein temps

Résumé du poste

Ethos in the US is seeking a Staff Data Scientist to own the product modeling roadmap, design and deploy production ML models, and collaborate with PMs to prioritize impact.

You will engineer features, run experiments, and ship iterative model improvements that power product experiences such as coverage recommenders, user routing, and agent assignment logic. Strong Bayesian experience and production focus are essential.

Qualifications

• 5+ years in data science or ML at established firms or high-growth tech.
• Strong command of supervised learning and recommendation systems; shipped production models.
• Experience deploying production models integrated with consumer-facing products.
• Proficient in Python and SQL with a Bayesian approach to experimentation.

Responsabilités

• 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 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.
• Mentor teammates and raise the team's data science bar through code reviews and documentation.

Connaissances

Python

SQL

Bayesian methods

Production ML

Recommender systems

Causal inference

Marketing mix modeling

MLflow

dbt

Data pipelines

Outils

XGBoost/LightGBM

ML infrastructure tooling

Description du poste

Ethos in the US is seeking a Staff Data Scientist to own the product modeling roadmap, design and deploy production ML models, and collaborate with PMs to prioritize impact.

You will engineer features, run experiments, and ship iterative model improvements that power product experiences such as coverage recommenders, user routing, and agent assignment logic. Strong Bayesian experience and production focus are essential.