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WIT Solutions - Analytics & Automation Consulting Logo

Data Scientist - Customer Experience

WIT Solutions - Analytics & Automation Consulting

From $100,000
Sep 22, 2025
Troy, MI, US
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WIT is looking to solve the business problem of improving customer experience in digital channels by reducing analog interactions in the contact center through data science and GenAI/ChatGPT.

Requirements

  • Minimum 3 years of experience in Data Science, including ML/AI experience and consumer experience data modelling.
  • Must have experience working with data in the Customer/Digital Experience; very commonly referred to as ‘CX’ sometimes ‘DX.’
  • Demonstrates a passion, curiosity, and willingness to working with Generative AI/ChatGPT.
  • Strong data analyst skills, probably some advanced analytics or data science background with Python experience.
  • Some experience with Text Analytics and AZURE ML preferred.
  • Experience in creating data models including predictive modeling.
  • Highly proficient on python.

Responsibilities

  • Develop and implement data model to improve the customer experience of digital customer channels (web/IVR), which would reduce the number of analog (human) interactions in the contact center (calls/emails) preferred.
  • Develop and implement the use of data science and GenAI / ChatGPT highly preferred.
  • Using ChatGPT/LLM methods to perform this kind of analysis.
  • Meet with customers to gather business and technical requirements.
  • Establish trust advisor status for data and analytics customers.
  • Lead by example through a culture of accountability and process

Other

  • Candidates should have hands-on development experience in Data Analytics, with excellent data storytelling skills.
  • We are seeking a blend of technical and advanced customer interaction skills, with a solid track record of delighting customers with the delivery of successful projects.
  • Excellent facilitation, verbal, and written communication skills.
  • Local candidates preferred, either remote/hybrid local.
  • Not willing to sponsor.