Convoy

Seattle
501-1,000 employees
We use technology to make freight more efficient, reducing shippers' costs, increasing carriers' earnings, and eliminating carbon emissions from our planet.

Research Scientist (All Levels)

Research Scientist (All Levels)

This job is no longer open

About the team:

Research Science is at the core of Convoy’s platforms. We build the models that power freight pricing, shipment offer relevance, auction bidding strategy, and other core services. We also forecast business metrics, evaluate the causal impact of business decisions, design statistical and machine learning models to optimize our product, and leverage our data to generate insights for our customers. The breadth of the problems space is huge, spanning machine learning, optimization, causal inference, experimental design, econometrics, and prediction domains. We have only begun to dig into the difficult and diverse problems in our two-sided marketplace.

You will:

  • Leverage machine learning and optimization to automate and improve decision making in our core problem areas
  • Develop and deploy new solutions and improving existing machine learning models (including deep learning, reinforcement learning and tree based methods)
  • Design and implement scalable automated decisioning systems
  • Lead research initiatives to drive actionable learnings and ultimately impact for Convoy 
  • Work on systems that automate our dynamic freight marketplace
We’re looking for someone who has:
  • Minimum of 2-7+ years of experience developing machine learning solutions
  • PhD or MS in Computer Science, Statistics, Applied Math/OR, Engineering, or related quantitative field.
  • Experience using Python and SQL for deploying and maintaining models in production
  • Experience with machine learning and deep learning toolkits and frameworks
  • Ability to frame business problems as automated decision solutions
  • Intelligent but practical; you want to get things done and love simplicity
  • You’re humble, effective, and biased toward action and learning
Nice to haves:
  • Experience with two-sided marketplaces (platforms), financial markets and economic theory or driving operational or product improvements through automated decision making
  • Experience developing mature models and doing the tough research work to unlock value
  • Experience with Big Data Tools
This job is no longer open
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