Data Science Intern (Customer Success)

Data Science Intern (Customer Success)

Overview

Are you ready to shape the future of artificial intelligence with a team that spun out of the Stanford AI Lab? At Cresta, we turn everyday customer conversations into powerful competitive advantages for global brands like United Airlines and Marriott. We are looking for a Data Science Intern to join our Customer Success team and help us analyze massive datasets to drive real business impact. This position is fully remote and open to applicants worldwide, meaning you can work from wherever you do your best thinking.

Key Responsibilities

  • Analyze complex conversational datasets to uncover actionable insights for our enterprise clients.
  • Build and refine predictive models that measure the success and efficiency of customer interactions.
  • Collaborate closely with our customer success and data science teams to translate data findings into clear strategies.
  • Develop automated dashboards and reporting tools to track key performance metrics.
  • Contribute fresh ideas to ongoing AI research and product enhancement projects.

Requirements

  • Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Strong proficiency in Python or R for data analysis and statistical modeling.
  • Familiarity with machine learning concepts and natural language processing techniques.
  • Excellent communication skills with the ability to explain technical insights to non-technical stakeholders.
  • A curious mindset and a genuine passion for artificial intelligence and customer experience innovation.

What You'll Gain

  • Hands-on mentorship from industry-leading AI experts and data scientists.
  • Real-world experience working with Fortune 500 enterprise clients and massive datasets.
  • The opportunity to make a tangible impact on a fast-growing, well-funded AI platform.
  • Complete flexibility with a remote-first work environment spanning the globe.

How to Apply

Click the apply button below to view the full job details and submit your application directly through the employer's official page.

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