A data scientist determines how business data is collected, collated, cleaned, processed and analyzed on its way to being transformed into useful information for decision-makers. They are vital to enterprise success.

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From the hiring kit:

INTRODUCTION

A strong candidate for an open data scientist position will demonstrate the ability to use analytical and statistical tools to recognize potential patterns in business-generated data. The process requires a delicate balance of technical knowledge and pattern recognition talent. It is a skillset acquired through extensive education, experience and business acumen.

SALARY RANGE

According to ZipRecruiter, the salary for a data scientist in the United States ranges from about $36,500 per year to around $197,000 per year. The average salary in that range is about $127,000 per year, and the data shows many salaries (36%) fall between $124,000 and $138,500.

DETERMINING FACTORS, DESIRABLE PERSONALITY TRAITS AND SKILLSETS

Data scientists typically have educational backgrounds in mathematics, statistics, computer science or economics, but certain business management fields with statistical or scientific emphasis are also common. The data scientist uses their analytical, statistical and programmatic skills to develop algorithmic methodologies, which can transform raw, large streams of data into useful information that can then be analyzed, parsed and eventually used to make business decisions.