Job description

Zilliant powers intelligent B2B commerce with our industry-leading price optimization and sales guidance software. Our data science, cloud-native software, and passion for customer success deliver the highest ROI, fastest time to value, and highest customer satisfaction. If you’re ready to make an impact at a fast-growing company, we’re eager to connect with you!

The primary role of a Zilliant Data Scientist is to effectively configure the scientific models which support Zilliant’s price optimization and predictive modeling solutions. To do so, the scientist must be comfortable with independent interactions with clients, guiding clients towards Zilliant’s best design practices, and effectively communicating the value of Zilliant’s products.

Location: Austin, TX or Remote/Telecommute/Work From Home

Responsibilities Include:

  • Assist in the configuration of Zilliant products by ensuring optimization and predictive models are configured to meet our client’s strategic objectives
  • Design model architectures that effectively deliver product value to our customers and address business issues
  • Communicate Zilliant Science to customers by presenting scientific concepts and models; as well as, communicating best practices that drive solutions
  • Use an array of software and tools to analyze and transform data
  • Report on data to multiple project stakeholders and customers
  • Work with other Zilliant teams across multiple projects, including Project and Success Managers, Data Architects & Engineers, Application Consultants, and the Product team

Key Requirements:

  • Advanced Degree in a quantitative subject such as Data Science, Operations Research, Industrial Engineering, Statistics, or a related discipline.
  • Experience in building predictive models for business applications.
  • Experience using SQL to analyze large datasets.
  • Experience implementing data science routines in Python.

Desirable Skills and Experience:

  • Academic or industry exposure to B2B or B2C pricing and revenue optimization.
  • Academic or industry exposure to machine learning methods.
  • Prior experience working as a consultant.
  • Experience using AWS technologies.
  • Experience using Tableau.

Zilliant is a proud Equal Opportunity Employer (EOE) and provides an environment of diversity, equality, and inclusion (DEI) to all employees and applicants, regardless of a person’s age, race, color, physical or mental disability, genetic information, gender, gender identity or expression, marital status, medical condition, ancestry, military or veteran status, national origin, religion, religious creed, sex, sexual orientation, or any other protected status under federal, state, or local law.

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