Data Scientist is a capability that will process data from data collection, data validation, modeling, to visualization. Capability includes data engineers who are tasked with preparing data for analysis or data that is useful for operations. Data engineer has the duty to build data from various different sources and systems; integrase, consolidation, and data cleaning, as well as compiling it for use by individuals in the analysis application. Data engineers usually deal with data, from structured to non-structured ones, and they must be experienced in various data and application architecture approaches.Data modeller is a system analyst who designs computer databases that translate complex business data into easy to use / digested computer systems. Data strategists lead to jobs related to Big Data. A data strategist will think about how to build a business or organization with mature ideas based on existing data. The task of a Data Strategist is like a Project Manager, it's just that Data Strategist focuses more on Big Data and creates technical from business strategies.
Requirements:
1. Have 1-3 years hands-on experience in the exploitation of data and the use of advanced statistical and modelling techniques to understand and improve business performance in at least one major industry vertical;2. Having a good understanding about statistics and Data Engineer 3. Be a clear, confident and persuasive communicator, with excellent presentation skills and with the ability to structure a coherent, logical argument and the confidence to defend assumptions, projections and recommendations;4. Demonstrate a keen interest in, and fair understanding of, big data technology trends that are driving the adoption of this technology;5. Be proficient in the use of both written and spoken business English;6. Possess excellent analytical and problem-solving skills;7. Demonstrate excellent organizational and people skills, including the ability to work independently and appropriately prioritise between competing opportunities8. Demonstrate a solid understanding of either Statistics; Mathematical Modelling; or Behavioural Economics, preferably to post-graduate level;9. Be familiar with both SQL and at least one of the following procedural programming languages C; C ; C#; Java; Python; Perl; R.10. Have competencies or certification (e.g: CRM Analytics, Data Modellar, Data Strategist, Machine Learning, Video Analytics, Data Engineer, Growth Hacking, Deep Learning, NLP, Business Analytics, Project Management, Domain Expert, or Data Visualization) from trusted institutions recognized by professional organizations.11. Bachelor degree in Mathematics, Statistics, or Computer Science or Business Analytic12. Having knowledge about Big Data Technology.13. Fluent in English
