Senior Decision Science Analyst

About the role

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.

Responsibilities

• 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
• Aid in the design and development of internal pricing software for advanced analytics to support real-time decision making and scalable growth
• Coach and mentor analysts

Requirements

• 4+ years of statistical modeling experience
• Prior experience in the insurance industry
• Advanced experience developing and implementing predictive models using both supervised and unsupervised machine learning approaches such as GLM, decision tree, and gradient boosting machines
• Bachelor’s degree in Data Science, Economics, Mathematics, Statistics, or a related field
• Proficiency in data science programming languages such as R or Python (preferred), and database query tools such as SQL
• Ability to work in a remote environment
• Enthusiasm about learning and adapting to the exciting world of AI – a commitment to exploring this field is a fundamental part of our culture

Qualifications

• Experience with AI and machine learning
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills

Skills

• Data Science
• Machine Learning
• Python/R Programming
• SQL

Benefits

• Competitive salary range of $125,000 - $140,000
• Equity + benefits package

Pay

• Salary range determined by role, level, and location
• Individual pay within the range is determined by work location and additional factors, including job-related skills, experience, and relevant education or training

Schedule

• Full-time remote position