Senior Decision Science Analyst
Lemonade Inc - Remote, United States
Posted Mar 17, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
- Not verified
- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Decision Science Analyst Remote, United States We're looking for a Decision Scientist who is eager to revolutionize insurance with us. In this role, you'll be building advanced pricing models & tools, while modernizing our pricing discipline to all facets of Lemonade - from distribution to underwriting, claims, compliance, and finance. You'll leverage competitive data and data science to optimize our customers' experience- and ensure fairness and accuracy in pricing. We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools. In this role you'll - Be an owner and expert on our home insurance state rating plans - Lead the development and integration of predictive modeling projects while working closely with the Data Science team - Craft rate filing support for new machine learning models - Recommend pricing and underwriting actions based on ongoing monitoring of results - Build a knowledge base of competitor rating strategies and the overall competitive landscape - Develop the rates and pricing strategy for product expansions in new states - Assist in the design and development of internal pricing software for advanced analytics to support real-time decision making and
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