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What is career growth in data science?

As close to 70% of data science projects & implementations are centered around data; the career of a typical data science aspirant invariably starts from data engineering wherein he/she learns to clean, massage and harmonize data to make it in a format on which statistical analysis can be done. The next stage in career growth phase is implementing statistical models and mathematical algorithms on the harmonized data to derive useful and relevant insights from the business.
Post spending a considerable amount of time in previous roles, a data scientist invariably moves to a more front-end role wherein he/she delivers insights,

inferences & prescriptions to business.
Furthermore, data science is an extremely dynamic field and could be different basis the organization that an individual work for. The career growth may be organic in large organization while it could be extremely fast in small & medium scale enterprises.