Staff Data Scientist - Production ML & Personalization

Ethos Life; Oregon; Hybride; USD 127 000 - 224 000; Plein temps

Résumé du poste

Ethos Life is seeking a Staff Data Scientist to own the product modeling roadmap and contribute to marketing measurement. You will design, build, and deploy production ML models in collaboration with PMs to scope and prioritize initiatives.

The role requires strong Python and SQL, Bayesian methods, and experience shipping models in consumer-facing products. You will translate model behavior and uncertainty into actionable recommendations and mentor teammates.

Qualifications

• 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.
• 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.
• Causal inference: diff-in-diff, uplift modeling, instrumental variables.
• 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
• Goes in the weeds without losing the bigger picture
• Knows the tradeoffs between simple heuristics and ML solutions
• Aligns model performance metrics to business objectives and combines models

Responsabilités

• Own 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

Connaissances

Python

SQL

Bayesian methods

Experiment design

Model deployment

Communication

Recommender systems

Causal inference

Marketing mix modeling

Insurtech knowledge

Data pipelines

dbt

MLflow

Feature stores

Outils

dbt

MLflow

Feature stores

Description du poste

Ethos Life is seeking a Staff Data Scientist to own the product modeling roadmap and contribute to marketing measurement. You will design, build, and deploy production ML models in collaboration with PMs to scope and prioritize initiatives.

The role requires strong Python and SQL, Bayesian methods, and experience shipping models in consumer-facing products. You will translate model behavior and uncertainty into actionable recommendations and mentor teammates.