Data Scientist

convoy   •  

Seattle, WA

Industry: Transportation


Less than 5 years

Posted 43 days ago

This job is no longer available.

Convoy, one of the fastest growing startups in the U.S., is transforming the $800 billion trucking industry. We offers the world's largest companies the best option for moving their freight through our network of thousands of technology-connected trucking companies.
Data Science is at the core of Convoy’s platform. We build the models that power freight pricing, shipment offer relevance, auction bidding strategy, and other core services. The breadth of the problems space is huge, spanning machine learning, optimization, causal inference, econometrics, and prediction domains. And we have only begun to dig into the difficult and diverse problems in our two-sided marketplace.
At Convoy you will be expected to work autonomously and own your domain end-to-end. We are a highly aligned team that operates in a fast-paced environment and pivots where needed to focus on what matters most. You willwork withhigh signal-to-noise data to power your deep dive research, modeling, and experimentation projects. If you’re curious minded and are interested in joining a company that is pushing the envelope of data science, join us

You will work on:

    • Recommendation Systems
    • Forecasting/Time Series
    • Marketplace Dynamics
    • Prediction/Classification
    • Experimentation
    • Causal Inference/Observational Data Analysis
    • Auction Optimization
    • Operations Research

Who you are:

    • MS or PhD in economics/econometrics, statistics, computer science, operations research, a natural science or equivalent quantitative subject
    • Experience with scientific/statistical languages such as R, Python, or Julia
    • 2+ years of experience doing statistical modeling for analysis and/or prediction
    • Intelligent but practical, you want to get things done and love simplicity
    • You’re a leader and will speak up where needed

Nice to have

    • Experience with two-sided markets (platforms) and other economic theory
    • Experience in bidding and pricing (e.g., quant experience)
    • Experience in causal inference and experimentation
    • Big data tools such as Spark, and/or Hadoop
    • SQL fluency