Data Science Engineer

2 March, 2020
Data Science Engineer
This role is a unique opportunity to not limit yourself to one Data career path but enter a ground-breaking data science company and develop skills in both Data Science and Data Engineering. As a Data Science Engineer you will be the perfect hybrid of the two worlds, developing advanced analytical solutions to complex problems and deploying them in repeatable data pipelines. The Starcount Data team ingests data from multiple sources including our partners and 3rd party APIs and are tasked with combining, preparing, and modelling this data for use in our products (web applications), external consultancy clients or our internal Data Science Toolbox.

  • Apply systems architecture and software design skills in the development of data pipelines on Hadoop, PostgreSQL and Spark
  • Design and develop new algorithms for extracting insight from social data using SQL and Python
  • Develop crawlers to extract data from the web or APIs
  • Build infrastructure around existing internal tools to enhance capabilities and improve data flow
  • Implement statistical models and algorithms including clustering on large scale graph data
  • Deploy to, work on and manage AWS especially EMR and S3
  • Accurately estimate solutions and time against project priorities, deadlines and deliverables
  • Translating business problems into analytical solutions with exposure to a broad application of data science techniques such as Machine Learning, Statistical Modelling, Data Mining and Network Analysis

Training & Progression
You will be working with an industry-leading team and will be given a mentor both to develop your technical understanding and personal development, this ensures your skills are being constantly nurtured and you grow within the business.

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