Job Description:

  • Own and execute end to end delivery of one or more than one data science model development, as per requirement provided by project/product manager
  •  Extract data from multiple data sources using Hadoop / SQL
  • Develop, Validate and Operationalize predictive models using appropriate variables and ML/deep learning techniques
  • Perform ad-hoc deep-dive analysis and generate actionable insights
  • Create technical documentation and provide post-production support for a time-bound period


  • Excellent knowledge of various statistical / Machine Learning / Deep Learning algorithms such as Feature Engineering/selection, Regression, Classification, Clustering, Recommendation Engine, Anomaly Detection, NLP, Reinforcement Learning, etc.)
  • 2 to 4 years of hands-on expertise in developing data science models by applying above mentioned algorithms on structured / text data, using Python
  • Proficient in writing optimized queries using any one of the DB query languages (Hive/Impala/SQL/MongoDB etc.).
  •  Knowledge of PySpark, Hadoop, MapReduce will be a big plus.
  • Must have working experience in DevOps tools like Docker, Kubernetes, Jenkins, etc.

Good to Have skill sets:

  •  Experience across end-to-end data science project life cycle (use case framing, data collection, data exploration, design of experiments, model development, selection and deployment, post-production support)
  • Self-motivated to learn different techniques/technologies, as per the project’s need and go the extra mile to bring customer delight

Post Date: 4 October 2021

Location: Pune, India

Job Type: Information Technology

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