Zipline is looking to solve the world's most urgent and complex access challenges by building, manufacturing, and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. The company aims to transform the way goods move by making autonomous drone delivery the fastest, most reliable, and most delightful logistics system in the world, requiring mastery of data-rich, highly dynamic last-mile logistics environments.
Requirements
- Deep expertise in applied optimization, causal inference, statistical modeling, and machine learning.
- Strong engineering skills in Python and SQL, with experience deploying algorithms into production systems.
- Track record of building and scaling experimentation platforms (A/B testing, marketplace simulations, demand forecasting).
- Experience with pricing optimization, supply-demand balancing, or customer lifecycle modeling strongly preferred.
Responsibilities
- Use statistical and optimization techniques to determine which restaurants/customers to onboard, how to present them digitally, and what mix maximizes engagement and repeat ordering.
- Build models that set optimal prices, balance supply and demand, and define customer-facing constraints to maximize revenue while ensuring a great experience.
- Design frameworks that quantify the ROI of business decisions (e.g., packaging quality, delivery timeliness, customer support investment) and recommend commercial strategies.
- Run large-scale A/B tests on customer communications, optimize marketing language and digital merchandising, and build models that accelerate customer acquisition and retention.
- Partner with engineering, operations, and growth teams to embed data science into the core of decision-making across the business.
Other
- 10+ years of professional experience, with significant work as a data scientist, optimization researcher, or applied decision scientist, ideally in last-mile delivery, e-commerce, or marketplace platforms.
- Business acumen and the ability to translate complex models into simple, actionable decisions for cross-functional stakeholders.
- Reliability, self-sufficiency, conscientiousness, and comfort navigating ambiguous, high-impact problems in a fast-paced environment.
- Must be eligible to work in the US.
