Staff Data Scientist - Production ML for Personalization

Ethos; United States; On-site; USD 127,000 - 224,000; Full time

Job summary

Ethos 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, partnering with PMs to scope and prioritize.

Define what to model, stress-test assumptions, and communicate uncertainty for actionable decisions. Responsibilities include end-to-end model lifecycle, feature engineering, and deploying models to production with real-time surfaces.

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
• 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 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

Skills

Data science

Machine Learning

Python

SQL

Bayesian methods

Experiment design

Production models

Recommendation systems

Causal inference

Marketing mix modeling

Insurtech/Fintech

dbt

MLflow

Tools

scikit-learn

XGBoost

LightGBM

ML pipelines

Job description

Ethos 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, partnering with PMs to scope and prioritize.

Define what to model, stress-test assumptions, and communicate uncertainty for actionable decisions. Responsibilities include end-to-end model lifecycle, feature engineering, and deploying models to production with real-time surfaces.