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Data Scientist- Data Modernization Platform

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  • Contact:

    Saurabh Bhattacharya

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  • Published:

    17 dagen geleden

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  • Drive the full lifecycle of Data Monetization projects: from gathering and understanding the end-user needs to implement a fully automated solution.
  • Develop and provision of Data pipelines to enable self-service reports and dashboards.
  • Deploy Machine learning techniques to answer the appropriate business problems using R or Python.
  • Visualize data using Tableau and create repeatable visual analysis for end users to use as tools.
  • Take ownership of the existing BI platforms and maintain the data integrity and accuracy of the numbers and data sources.
  • Know Agile - Scrum project management experience/knowledge - Ability to prioritise, pushback and effectively manage a data product and sprint backlog.


  • 5+ years of experience in building out scalable and reliable data applications/platforms from a variety of data sources, preferably in the ecommerce retail industry.
  • Experience leading substantial aspects of product management. That means identifying opportunities, defining a product roadmap, creating business cases, driving execution activities, and measuring results.
  • Demonstrate the capability and autonomy to define the "what" of our data monetization product(s) by understanding the competition, users and company abilities and constraints.
  • Experience with Tableau, Power BI, Superset or any standard data visualization tools.
  • Deep understanding of Relational Database Management Systems (RDBMS) (e.g. PostgreSQL, MySQL) , No-SQL Databases (e.g. MongoDB, ElasticSearch) and hands-on experience in implementation and performance tuning of MPP databases (e.g. Redshift, BigQuery).
  • Exhibits sound business judgment, a proven ability to influence others, strong analytical skills, and a proven track record of taking ownership, leading data-driven analyses, and influencing results.
  • Knowledge of cloud services like AWS, GCP, Azure would be a huge added advantage.
  • E-commerce / logistics / fashion retail background a bonus.

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