Location: Palo Alto, CA (hybrid)

NEXT’s mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience.

Simply put, wherever you find small businesses, you’ll find NEXT.

Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in.

Want to shape the future of insurance through data science? We are looking for a Data Scientist to join the growing data org that has a dedication to diving into data and thinking analytically about business problems and user behaviors. The ideal candidate is excited to define and own company objectives and guide their team towards success through data-driven decisions. If you have the intuition to identify important analytical questions, the technical ability for complex deep-dives, and the communication skills to turn ideas into action - you belong here!

What You’ll Do:

Conduct deep-dive analysis to improve insurance product performance, with focus on pricing and underwriting
Identify, size and prioritize opportunities pertaining to growth and profitability
Partner with data engineering to design the right data model, logging, and data-pipelines.
Work with cross-functional partners to determine the strategy of their team, then design the right metrics and targets to communicate their progress
Create clear, compelling, and actionable insights based on data
Develop dashboards to track progress against objectives, understand metric drivers, and help business stakeholders make data-informed decisions
Design experiments to inform product decisions
Provide statistical rigor and guidance on metric development

What We Need:

4+ Professional experience in a quantitative analysis role
Desire and capability to deeply understand the insurance products we offer and available levers
Applied knowledge of experiment design and causal inference, particularly non-A/B or RCT experiments
Fluent in SQL and comfortable with less structured data format such as JSON
Proficiency in statistical analysis using Python or R.
Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insights
Experience building clear and easy to understand dashboards
Ability to communicate effectively to cross functional partners of varying technical levels
Experience influencing the product strategy through analyses
BA/BS degree

Unstoppable Qualities:

Experience in insurance or financial services
Experience with pricing and underwriting risk
Applied knowledge of experiment design and causal inference, particularly non-A/B or RCT experiments

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