Our Mission:

In the age of large marketplaces like Amazon, we expect products delivered to our doorsteps in one or two days at no extra cost. Millions of sellers on other marketplaces fall short, unable to afford fast product delivery to their customers. Our mission is to build an intelligent, asset-lite network that enables any seller to offer ultra-fast, low-cost fulfillment -- transforming the $8 - $12 trillion per year fragmented and outdated logistics industry.

Our Team:

Our backgrounds span journalism, academia, consulting, entrepreneurship, and more. We’re united by our curiosity, bias for action, and entrepreneurial ownership. We're looking for intelligent and ambitious people to join us in the early stages of building our vision -- backed by leading firms in logistics and venture capital.

Sr. Data Scientist - ML/ Operations/ Experimentation: The Data Science team is responsible for Deliverr's predictions, optimizations, and analytics. As a Data Scientist, you will power Deliverr’s decisions by owning and developing a specialized domain of Deliverr’s models.

What you'll do:

This role will specialize in at least one of the following domains:

• Machine learning: develop models forecasting various phenomena. Examples include:
  • How is product X’s future demand distributed across geography and time?
  • What is carrier X’s speed between points A and B?
  • How likely are service failures in warehouse / carrier networks?
• Operations research: develop optimization models. Examples include:
  • What is the best way to distribute a product's inventory across a warehouse network?
  • What is the best way to fulfill an order?
  • How do we do the above in the face of warehouse capacity constraints, changing transportation network performance, dynamic demand forecasts, etc.?
• Experimentation: design and implement experimentation initiatives. Examples include:
  • How do sellers behave given different features / pricing models?
  • How do products' demand profiles change as a result of changing fulfillment options?
  • How do we optimize our marketing budget?

What we’re looking for:

• 4+ years of experience in a relevant role.
• Academic background in a relevant field.
• Proficiency in SQL and Python (or similar language)
• Ability to work, prioritize, and adapt in a rapid-growth startup.
• Knowing the difference between sophisticated and effective.