Data Scientist (Austin)

Posted: January 23, 2019 | Austin

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The primary role of a Data Scientist is to effectively configure the scientific models which support Zilliant’s Price Optimization and Sales Growth solutions.  The Data Scientist must be comfortable with independent interactions with clients, guiding clients towards Zilliant’s configuration best practices, and effectively communicating the value of Zilliant’s products.

Responsibilities Include:

  • Leverage an array of software tools to analyze large client datasets
  • Integrate large scale commercial software into a client’s existing pricing process
  • Travel to client offices to present scientific concepts and model results to senior executives

Key Requirements:

  • Advanced Degree in an applied mathematics subject such as Data Science, Operations Research, Industrial Engineering, Statistics or a related discipline
  • Experience in building data-driven models which have driven measurable business performance
  • Experience using SQL and/or Spark to analyze and process large datasets
  • Experience implementing data science routines in R and/or Python
  • Based out of the Zilliant office in downtown Austin

Desirable Skills and Experience:

  • Academic or industry exposure to B2B or B2C pricing and revenue optimization
  • Experience in deploying large scale enterprise software that employs operations research, statistics, or data science methods and algorithms
  • Industry experience in distribution, manufacturing, transportation, hospitality, or financial services is desirable
  • Prior experience working within a professional services organization
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