Data Scientist, Analytics
Palo Alto, CA
Applications have closed
Next Insurance
Protect your small business with NEXT Insurance. Fast quotes. Instant coverage with competitive rates. Totally tailored for 1,300+ professionsLocation: Palo Alto, CA (hybrid)
Next Insurance is a fast-growing tech company based in Silicon Valley that is led by a team of experienced entrepreneurs with a history of successful outcomes. Our mission is to transform insurance for small businesses by combining world-class technology and phenomenal customer service to offer better insurance at a lower price. As the leading digital insurtech company transforming small business insurance, we are proud to have achieved a company valuation of $4 billion and total funding raised to more than $880 million!
Next Insurance is looking for explorers who are filled with curiosity, have the desire to travel the unbeaten path, and realize new heights in providing small business owners with the peace of mind to run their businesses. If you move fast, and are customer-focused and willing to challenge the status quo, Next Insurance might just be your next journey.
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 the health of revenue growth and profitability. The ideal candidate is excited to develop a thoughtful metrics framework, define and own company-level metrics, as well as influence stakeholders and the entire company’s strategy. If you have the passion for making an impact, the intuition to identify critical analytical questions, the technical ability for complex deep-dives, and the communication skills to help the team turn ideas into action - you belong here!
What You’ll Do:
- Drive strategy and roadmap for profitability across the company, including customer journey, distribution channels and product portfolio by gaining insights of the customers and products
- Proactively work with cross-functional and/or cross-domain teams including product, marketing, revenue and corporate finance to influence their strategic roadmap and business direction by providing actionable insights
- Apply the expertise in data to identify, size, and prioritize opportunities pertaining to improving post-purchase lifecycle experience, customer engagement and retention, lifetime value, and ultimately profitability
- Own the data product, leading cross-functionally across product, engineering, operations and finance teams to design the right microservice APIs, data models, logging, and data-pipeline foundations
- Design experiments and conduct causal analyses to provide actionable insights to influence product or strategy decisions
- Evaluate the historical business performance and trend, build statistical models to deliver forward-looking forecasts
- Develop dashboards to track company level and team metric progress against objectives, understand metric drivers, and help business stakeholders make data-driven decisions
What We Need:
- Professional experience in a quantitative analysis role (experience working in fintech or with revenue & finance team is a plus)
- Ability to define the appropriate metric framework to empower the data-driven decision-making process
- Experience with experiment design, implementation, analysis, and recommendation for actionable insights
- Experience with forecasting customer and/or revenue growth
- Experience with statistical analysis such as causal inference and regressions is a plus
- Experience in influencing product, marketing, and corporate strategy team by providing accurate insights and effective communication
- Fluent in SQL and some experience with a programming language like Python a plus
- Experience building clear and easy-to-understand dashboards
- BA/BS degree
Unstoppable Qualities:
- Experience in shifting priorities while maintaining a high level of delivering impact
- Experience in end-to-end ownership of the data product
One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Causal inference Engineering Finance FinTech Python SQL Statistics
Perks/benefits: Insurance Startup environment
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