Zoomcar - Data Scientist - Python/SQL

Job description


  • Develop and implement personification algorithms to enhance user experience, collaborate with cross-functional teams to integrate personalised features into the platform
  • Work closely with product and business teams to devise the data-driven solutions and statistical models
  • Collaborate on proof of concepts and experiments to showcase the value that machine learning can contribute, aligning with product requirements
  • Constantly monitor the business and product metrics and fine-tune the existing models according the changing market trends and needs
  • Recognise, assess, and interpret trends or patterns within extensive and complex data sets.
  • Utilise these insights to generate actionable recommendations for the improvement and advancement of both product features and overall business strategies
  • Build predictive models to forecast user behaviors, demand, and market trends. Implement models to optimize pricing strategies, cateloguing and recommendations on different touch points of the user journey
  • Collaborate with engineering teams to deploy scalable and reproducible data science models
  • Define appropriate testing environments, including A/B testing methodologies, and establish accurate metrics for tracking new features and product performance.
  • Collaborate with the analytics team to construct precise measurement frameworks to evaluate outcomes effectively


  • B. Tech. / BE - Computer, IT, Electronics (Circuit Branches) only, Bachelors/Masters in Data-Science/ML or in similar stream
  • Strong hands-on working experience in Python and SQL
  • 2-4 years of experience in developing predictive models through the application of statistical, machine learning, and deep learning algorithms
  • Ability to think creatively to solve complex business problems using data driven solutions, should have good problem solving and strong analytical skills
  • Fair understanding of different databases, stream processing tools - kafka, queues
  • Well versed with Linux fundamentals and should be able to understand basic performance metrics such as CPU, memory and network latency
  • Hands on experience with frameworks like flask, fastAPI, django, numpy, pandas etc
  • Familiarity with analytical tools such as tableau, excel is an added advantage
  • Knowledge of cloud based(preferably AWS) solutions such as lamda, SQS, EKS etc


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