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Staff Data Scientist

🔥 15 hours ago

🇺🇸 United States – Remote

💵 $127k - $224k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

Where this job comes from

Posted on Ethos's careers page, not through a job board

First seen by Remote Rocketship 15 hours ago

Still open on Ethos's site. Checked 50 minutes ago.

Logo of Ethos

Ethos

201 - 500 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Ethos is a life insurance provider offering a fast and convenient way for customers to apply for and receive life insurance coverage. Specializing in no-medical-exam policies, Ethos allows individuals to secure life insurance quickly, with coverage options ranging from term life for various durations to guaranteed whole life policies. The company emphasizes ease of use, providing online tools such as coverage calculators and educational resources, as well as customer and agent support. Ethos also offers additional benefits like estate planning aids as part of its insurance packages.

📋 Description

• 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 product managers to define how model scores are consumed in real-time product surfaces • Own the product modeling roadmap • Contribute to marketing measurement • Define modeling opportunities proactively and stress-test assumptions • Communicate uncertainty in actionable terms for stakeholders

🎯 Requirements

• 5+ years in data science or ML at established firms or high-growth tech • Strong command of supervised learning and recommendation systems • Experience shipping production models, not just notebooks • Proficiency in Python, including pymc, scikit-learn, XGBoost/LightGBM • Proficiency in SQL • Hands-on Bayesian experience: prior elicitation, posterior inference, and experiment design • Experience deploying production models integrated with consumer-facing products • Strong communication skills; ability to translate model behavior and uncertainty into stakeholder recommendations • 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 • Ability to get into details without losing the bigger picture • Ability to understand tradeoffs between simple heuristics and ML solutions and select the appropriate approach • Ability to align model performance metrics to business objectives and combine multiple models into a coherent solution • Ability to raise the team's data science bar through code review, documentation, and mentorship

🏖️ Benefits

• Base salary of $127,000–$224,000 per year • Applicable bonus, equity, and benefits are provided separately from the listed base salary • US benefits details available through Ethos careers page

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