Ethos Life - Staff Data Scientist

• 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 • 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 • #LI-Remote  #LI-TL1 • #LI-Remote • #LI-TL1 • The US national base salary range for this full-time position is $127,000 - $224,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. • Please note that the compensation details listed in US role postings reflect the base salary only and do not include applicable bonus, equity, or benefits. • You can find further details of our US benefits at https://www.ethoslife.com/careers/ • Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.