Principal Software Engineer – Data Science – Zoomcar


  • Collaborate with CXOs to establish the roadmap and vision for Data Science at Zoomcar.
  • Partner with Data Engineering to construct a robust data platform.
  • Collaborate with Business Teams on analytical models, recommendation systems, and forecasting models, and devise strategies to execute experiments and operationalize new features.
  • Collaborate with IoT/Devices Teams to develop meta-scores beneficial for operations and business teams.
  • Collaborate with the ZAP marketplace team on associate behavior profiling and listing analytics.
  • Take ownership, alongside your team, of Business Intelligence and Analytics at Zoomcar.


  • Graduate or Postgraduate from a premier institute.
  • Ability to translate business challenges into data science projects.
  • Proficiency in Supervised, Unsupervised, and Data Mining techniques.
  • Strong understanding of techniques like Regularization, Dimensionality Reduction, and Pattern Matching/Anomaly Detection.
  • Experience with SPSS, R, Octave, Matlab, Python, or similar statistical software.
  • Experience in mentoring junior team members.
  • Excellent communication, data visualization, and presentation skills.
  • Over 5 years of industrial experience in predictive modeling and analysis.
  • Proficiency in Java or C++, Perl/Python (or similar scripting language).
  • Experience handling gigabyte and terabyte-size datasets.
  • Experience working with retail or e-commerce data.
  • Familiarity with distributed systems and grid computing.
  • Published works or presentations in recognized Machine Learning and Data Mining journals/conferences.

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