- Work with data science and data engineers to develop simulators
- Analyse and interpret model results and present it to stakeholders
- Data Science formulation of complex business problems
- Be hands on to use statistical software's and big data querying tools for developing solutions to business problems
- Architect and build scalable pipelines for data analysis and transformation
- Design & Enhance platforms as consumable data services
- Come up with efficient, modular and scalable solutions for business and technical problems. Architect and build near real-time (low latency) infrastructure for segmentation, personalized recommendations, reporting etc.
- Leading big data projects successfully from scratch by using agile development techniques
- Solve problems in robust and creative ways and demonstrate solid verbal, interpersonal and written communication skills
- Innovate and design use cases that can be generated from huge amount of data volume daily Telecom/Digital/Network platform.
- Designing granular level of customer attributes by understanding Telecom data.
- Demonstrate a basic level of understanding of the full technology stack and understand how your product interacts with all areas of the business
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