Lead Risk Analytics Data Scientist

🕒 May 11

🏄 California – Remote

🏄 California – Remote

💵 $125k - $155k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Extend

WebsiteLinkedInAll Job Openings

201 - 500 employees

🛡️ Insurance

📦 Logistics

🛍️ eCommerce

Insurance • Logistics • eCommerce

Extend is a company that helps merchants generate revenue and protect their customers through modern product and shipping protection solutions. They offer protection plans from product failure and accidental damage to shipping issues like porch pirates and damaged deliveries. Extend provides a platform that is easy to integrate with eCommerce platforms like Shopify and BigCommerce. This enables merchants to easily offer protection plans and manage claims, with most being resolved in 90 seconds or less. The company focuses on improving profit margins and enhancing the customer experience by offering easy claim filing and turning customers into long-term advocates.

📋 Description

• Price deals no one has priced before. • Turn a monitoring function into a decision engine. • Own the risk narrative with senior leadership. • Build the data foundation for Risk Analytics — and make it yours. • Actually use AI to change how the team works.

🎯 Requirements

• Strong analytical and data skills spanning SQL, Python or R, pipeline development and data modeling (dbt, Snowflake), and visualization tools such as Tableau or Streamlit. • 5+ years of experience working on actuarial pricing, predictive modeling or other Risk Analytics related areas • Ability to dive deep into data and communicate insights to audiences of all backgrounds, especially to teams with less data & analytics experience • Relevant Actuarial experience (such as Associate of the Casualty Actuarial Society (ACAS) or equivalent exam experience) preferred but not required • Excited and passionate about the new AI tools (Claude, Gemini, etc.) and eager to learn how that can help improve our day-to-day efficiency • Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a related field • Ability and interest in thinking beyond the insurance organization, considering the challenges of other teams, and prioritizing what is best for the business holistically, is essential • Empathy, humility, and curiosity

🏖️ Benefits

• Competitive salary based on experience, with full medical and dental & vision benefits. • Stock in an early-stage startup growing quickly. • Generous, flexible paid time off policy. • 401(k) with Financial Guidance from Morgan Stanley.