Manager-Data Science
Econolytics
Mumbai, Maharashtra, India
5d ago

You will be working with client relationship managers, product owners and developers to generate understanding, strategy and suggest actions based on data.

You will be a blend of data hacker, business analyst, coder, communicator and guide to translate terabytes of data into customer insights or usable solutions.

  • Pro-actively identify opportunities for application of analytics in the organization
  • Understand organization’s analytical needs and convert business problems to analytical problems
  • Take full ownership of your work, from the initial idea-generation phase to the implementation of the final product to its maintenance and improvement Execute / deliver projects independently
  • Transform large complex datasets from various sources (transactional, digital, logs, campaigns..)
  • Give pragmatic, actionable business / consumer insights in a well-presented manner
  • Work with cutting edge tools like GreenPlum, R, Python etc. and arrive at the best approach to solve challenging problems
  • Hands-on coding, data manipulation, integration plus deployment to production systems
  • Create marketing plans or campaign ideas and derive ideal target groups for campaigns based on various call to actions
  • Develop and automate Business Intelligence frameworks
  • Develop new algorithms for predicting or influencing consumer behavior prediction (eg : next purchase, attrition etc.) Build, validate and deploy into production
  • Create client-ready decks for final deliverables and present the same if needed
  • Develop and deploy solutions / algorithms for data quality monitoring and data enrichment
  • Mastering the fast evolving data structure and infrastructure; Understanding constraints and troubleshooting to arrive at workarounds when required
  • Work on end-to-end data management including database design, data update processes, data pipeline set-up and enriching data quality
  • Understand and experiment with different statistical and machine learning algorithms and apply them for business problems
  • Challenge ideas and methods while working together with talented, highly skilled team members.
  • Independently define & solve problems, research & development, self-learning and skill development
  • Interview for recruitment and guide other members in the department
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