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Job Details

Data Scientist

Location
Seattle, WA

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Job Description
**MEMBERS ONLY**SIGN UP NOW***., 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 **MEMBERS ONLY**SIGN UP NOW***.’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 **MEMBERS ONLY**SIGN UP NOW***. 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 will work with high 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

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