Data Scientist, Growth – Partnerships & Customer Experience

Next Insurance•Palo Alto, CA
•$158,000 - $214,000•Hybrid

About The Position

ERGO NEXT is seeking a Growth Data Scientist to use data to shape how the company reaches, serves, and converts customers across its partnership channel and customer experience funnel. The role works closely with Product and Partnerships teams to identify growth opportunities, understand customer behavior, and translate insights into product and business decisions. The successful candidate combines analytical and statistical skills with business judgment, curiosity, and a bias toward action, and can work through ambiguous questions using established data science methods and emerging AI capabilities. The position owns analytics across the customer experience funnel, from acquired opportunities through purchases, and helps drive strategy and roadmaps for the Partnership channel and customer experience. It involves designing and evaluating experiments and causal analyses, assessing partner performance, prioritizing growth opportunities, applying statistical methods, and establishing metrics and visualizations for data-driven decisions. The role also uses AI in day-to-day data science work and seeks opportunities to build reusable AI-enabled tools, skills, or agents.

Requirements

  • At least 4 years of experience in Data Science or other highly quantitative analytical roles.
  • Ability to quickly learn new AI capabilities, identify gaps in existing workflows, and apply or develop practical AI-enabled solutions that improve data science work.
  • Advanced proficiency in SQL.
  • Experience using Python or R for statistical analysis and analytical workflows.
  • Strong foundation in statistics, experimentation, and causal inference.
  • Experience with experiment design, implementation, analysis, and recommendations for actionable insights.
  • Ability to define appropriate metric frameworks to support data-driven decision-making.
  • Strong communication skills, including the ability to translate complex analyses into clear recommendations and influence cross-functional stakeholders.
  • Experience analyzing customer journeys, conversion funnels, or growth and connecting metric changes to underlying business drivers.
  • Experience working with partnership or other multi-channel business models and evaluating partner performance.

Nice To Haves

  • Experience working in fintech.
  • Experience working in growth and partnerships.
  • A builder mindset and interest in using data, automation, and AI to turn recurring analytical problems into scalable capabilities for the broader organization.

Responsibilities

  • Use AI in day-to-day data science workflows and identify opportunities to develop reusable AI-enabled tools, skills, or agents for practical analytical and business problems.
  • Drive strategy and roadmap for the Partnership channel and customer experience funnel through actionable data insights.
  • Own analytics for the entire customer experience funnel, from acquired opportunities to purchases.
  • Design and evaluate experiments and causal analyses to measure the impact of product, funnel, and customer experience changes and guide strategic decisions.
  • Analyze affiliate performance across the partnership channel, including traffic quality, conversion, product mix, and customer behavior, to identify opportunities to improve partner growth and customer outcomes.
  • Identify, size, and prioritize growth opportunities, translating ambiguous business questions into rigorous analyses and actionable recommendations.
  • Apply statistical analysis, segmentation, modeling, and deep-dive analysis to understand drivers of business performance.
  • Define metrics, measurement frameworks, and visualizations to help the business monitor performance and make data-driven decisions.

Benefits

  • Annual performance-based incentive program eligibility.
  • Partially subsidized medical plan.
  • Fully subsidized vision and dental options.
  • Life insurance.
  • Disability insurance.
  • 401(k).
  • Flexible paid time off.
  • Parental leave.
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