Data Scientist, Next Insurance

• 5+ Years in a data science or analytics role
• Fluent in SQL and familiarity with modern, cloud data technologies
• Strong analysis skills in python or R
• Hands on experience with delivering insights using statistical analysis such as causal inference, regressions, and experiment design a plus
• 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

Desirable

• 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 help the team turn ideas into action - you belong here!
• Partner with our underwriting capabilities team to develop underwriting processes that are fast, accurate and fair that enable profitable growth
• Work closely with risk ML to measure model performance, feature stability, and the effects of new models on growth and risk
• Identify, size and prioritize opportunities pertaining to growth and profitability
• Create your own roadmap and priorities in partnership with a broad set of stakeholders across engineering, machine learning, and product management
• Partner with data engineering to design the right data model, logging, and data-pipeline foundations
• 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 metric progress against objectives, understand metric drivers, sound an early alarm on discrepancies, and help business stakeholders make data-informed decisions
• Design experiments to inform product decisions
• Provide statistical rigor and guidance on metrics with long development period