Data science has a vast scope for research and career growth, as in this modern day and context, data is the be all and end all of all business decisions taken up by companies. A data scientist is supposed to fill the role of a software engineer, a marketer, a trendsetter and a mathematician. He has to work with huge volumes of data set, often unstructured information, curate what’s relevant out of it and then gather insights that would help the organization predict customer trends and preferences with as much accuracy as possible. Here are some of the things you can be as a data scientist:
Data Analyst: As a data analyst you will be required to study the market trends, observe customer preferences and have a solid idea about the demographics that your company is targeting. This helps create a clear plan on the kind of strategies and advertising policies you would want to set up.
Data Scientist: Data scientists have a tougher job than just detecting and recording marketing trends. As a data scientist, your job will entail tasks like evaluating gigantic volumes of data, noticing patterns, developing a premise and creating processes based on the same. Data experts also have to deal with programming and hence you must have sharp coding skills.
Data Engineer: As a data engineer your job involves gathering data sets, inspecting the business requirements involved, cooperating with third-parties, creating algorithms and curating data sets that would eventually help forecast market trends with as much exactness as possible. As a data engineer, you would also have to design data related operations, think of ground-breaking solutions and study the given information rationally.
Data Architect: A data architect has to often work together with data scientists and engineers to create intricate plans for the corporate body. The data architect is accountable for the workings of the plan. He has access to all the core codes and the data source which he assimilates and adds on to the data for improved results.