Job Description

Job Description

  • Develop and deploy lead scoring models to help sales teams prioritize high-value opportunities
  • Build customer segmentation systems to identify patterns across large datasets
  • Implement continuous learning pipelines for models that improve automatically over time
  • Take models from experimentation to production-ready systems handling real traffic
  • Monitor model performance and detect drift in production
  • Work on real systems with high business impact and ownership
  • Opportunity to convert to a full-time role after graduation or continue part-time during studies

    • Qualifications

  • Currently enrolled in a Master’s program in Data Science, Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field
  • Previous internship or research experience in data science, analytics, or a similar technical role
  • Strong Python skills (pandas, NumPy, scikit-lear...

    • Ready to Apply?

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