Austin, TX, United States
Posted 8 days ago
Main Location
Austin, TX, United States
Open jobs

uShip has a unique opportunity to support its automobile logistics team with advanced data science and analytical techniques. The primary focus of the data scientist will be to develop reliable pricing models for transporting automobiles throughout the US and Canada. The data scientist will interface with a number of departments and the executive team while advancing our strategic initiatives in a highly competitive marketplace.


  • Work with primary stakeholders to understand project requirements
  • Gather data from internal and external sources
  • Work closely with data architecture and analyst teams
  • Generate reliable pricing models that may be integrated within the uShip product
  • Create testing pipelines that evaluate the effectiveness of the model output
  • Iterate on models to optimize performance
  • Regularly present findings to stakeholders and executive team
  • Work with product and development teams to integrate models
  • Work within the AWS ecosystem to house data, train, and deploy models
  • Continuously research and update skillset


  • Undergraduate degree in Data Science, Statistics, Computer Science, or other relevant field.
  • Strong SQL skills
  • Competency at creating reliable data pipelines
  • Fluent in at least one object-oriented programming language (e.g. Python, Java, Scala or R)
  • Solid understanding of Statistics, A/B testing, hypothesis testing
  • Strong understanding of machine learning concepts and algorithms (Supervised/Unsupervised, classification/regression, etc.)
  • Advanced ability to perform exploratory data analysis, outlier detection, data cleaning, feature engineering
  • Ability to understand the output of complex algorithms and communicate to relevant parties
  • Basic understanding of APIs and how to host machine learning models
  • Iterate on models rapidly to optimize team performance and revenue
  • Work closely with operations leaders to jointly own daily, weekly, and monthly profitability reports
  • Willingness to proactively solve problems through non-conventional methods or approaches
  • Entrepreneurial spirit, eager to work closely with front line operations teams, their customers, and 3rd parties


  • Experience with geographical data
  • Experience with Time Series analysis
  • Familiarity with major commerce routes or freight lanes
  • Economic analysis of impacts of promotional pricing
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