Data Scientist, Growth

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 build an amazing insurance product for our SMB customers? As a member of the growing Direct-to-Customer data team, you will leverage data to shape the go-to-market strategy by closely collaborating with the teams from design, product, engineering, and partnership operations. The ideal candidate is passionate about building excellent product experience for customers via clear metrics, deep and rigorous funnel analysis from experiments and user behavioral data, and compelling communication with the wide audience. Join us to unlock the next level of insurance product!

What You’ll Do: 

• Partner closely with cross-functional teams from ideation, development to learning and optimization
• Be able to derive hypotheses and drive actionable insights from experiments and/or user behavior data to improve the product growth and revenue
• Ownership; define relevant metrics, proactive monitor the business health, and identify the root causes of the changes and propose potential solutions
• Influence the GTM strategy with clear communication and easy-to-understand data/visualizations of varying technical levels
• Collaborate with engineering teams to design scalable and future-proof data instrumentation

What We Need: 

• Fluent in SQL and comfortable with less structured data format such as JSON
• Proficiency in statistical analysis using Python or R.
• Conduct deep-dive analysis with statistical rigor and advocate for advanced analytical techniques
• Comfort with ambiguity; autonomous and proactive in identifying the opportunities by working with XFN
• BA/BS degree with a minimum 5+ years of experience in quantitative role

Unstoppable Qualities: 

• Experience in marketing analytics such as media mix modeling, incrementally and attribution, LTV, and RoAS
• Good to have a solid understanding of causal inference and RCT design