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Data Science Intern

Centerfield · United States

External listinginternshipabout 1 month ago

About The Role

Join Centerfield as a Data Science Intern and work alongside our Data Science team to turn millions of customer conversations into actionable intelligence. You'll contribute to our call intelligence and customer data platforms, analyze call transcripts, validate predictive models, explore data, experiment with GenAI, and communicate findings to both technical and business stakeholders. This internship offers a hands-on experience with real data and code, mentorship from experienced data scientists, and a range of benefits including flexible PTO, health benefits, and a 401k match.

  • Contribuer directement aux plateformes d'intelligence des appels et de données clients, en aidant à extraire des signaux comportementaux.
  • Analyser les transcriptions d'appels et aider à construire et affiner des règles qui extraient des signaux comportementaux et d'intention.
  • Soutenir l'équipe dans la validation des modèles prédictifs et des traits alimentant notre plateforme de données clients.
  • Data Skills: Comfortable querying and manipulating data with SQL, and curious about working with large, messy, real-world datasets
  • Programming: Solid foundation in Python and familiarity with core data libraries (e.g., pandas, NumPy, scikit-learn) through coursework, research, or personal projects
  • ML & Stats Fundamentals: Working understanding of machine learning concepts and applied statistics - regression, classification, evaluation metrics, and basic experimental thinking
  • GenAI Curiosity: Genuine interest in LLMs and Generative AI, with some hands-on exposure (prompting, an API project, a course, or experimentation) even if not yet professional
  • Mindset: Self-starter who communicates clearly, asks good questions, and is eager to take a problem from notebook to a result the team can use
  • Education: Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field
  • Cloud Exposure: Any experience with a major cloud platform, especially GCP (BigQuery, Vertex AI), is a plus
  • NLP / Text Data: Prior work with natural language processing, transcripts, or unstructured text data
  • Graph or CDP Concepts: Familiarity with graph databases (e.g., Neo4j) or customer data/identity resolution concepts
  • Visualization: Experience building dashboards or visualizations to tell a story with data

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