Responsibilities:
- 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.
Requirements:
- 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.
More Information
- Experience 5-10 Years
