Job description

About the role:

  • Develop, train, implement models that significantly impact the field of data science and data analytics in Customer Intelligence and other areas.
  • Design and develop data-related prototypes, POCs, programs, applications, reports, dashboards, etc., and deliver solutions that directly provide value to the business.
  • Improve models and algorithms to further optimize business outcomes, especially in the area of Customer Intelligence.
  • Collaborate and work across functional and multidisciplinary teams (including Data Scientists, Data Engineers, Software Developers, various stakeholders, etc.) in a dynamic environment to develop an understanding of evolving/agile business needs.
  • Formulate hypotheses, and design and develop corresponding necessary measures, systems, simulations, and experiments in order to validate the hypotheses.

You have:

  • BS/MS/PhD in Computer Science, Data Science, IT, Statistics, AI, Machine Learning, Analytics, etc.
  • Min 5 years of relevant experience beyond the first degree.
  • Strong Data Science skills, knowledge and experience, and strong domain knowledge in Customer Intelligence, Business Intelligence in Consumer Experience, etc. Must have successfully completed projects in large-scale real-world Customer Intelligence.
  • Customer Profile, Segmentation, feature store, CLTV modelling, customer lifecycle optimization, CRM, etc.
  • High proficiency in SQL, and experience with NoSQL databases.
  • Good applied statistical knowledge with emphasis in business, finance and Customer Intelligence related statistical distributions, statistical testing, modeling, regression analysis, etc.
  • Completed successful large-scale projects using Python and its corresponding Data Science, Machine Learning and Deep Learning ecosystem of libraries or frameworks including Scikit-Learn, Pandas, TensorFlow, PyTorch, etc.
  • Experience with code versioning, code review and documentation.
  • Experience using cloud platform products and services.
  • Good working knowledge of productivity tools such as G Suite, Git, Jira, Confluence.

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