Senior Data Scientist, IT in New York Salary
How much does a Senior Data Scientist, IT make in New York, NY? A Senior Data Scientist, IT in New York earns a very comfortable salary, with the average salary surpassing six figures ($164,235) per year. This is 21% above the national average for a Senior Data Scientist, IT which is $130,461 annually. Salaries for a Senior Data Scientist, IT in New York range from $135,882 annually to $177,183 per year. Total Annual Compensation, which includes salary and bonus for a Senior Data Scientist, IT in New York ranges from $135,882 to $245,000 annually. Among those reporting, there is an average job satisfaction rating of 0 out of 5 stars. In New York, men make up the majority of the workforce (100 percent). In New York, a Senior Data Scientist, IT often enjoys benefits provided by their employer.
Job Description for Senior Data Scientist, IT
A data scientist is the modern equivalent of a data analyst, but with business acumen; it is a job which focuses heavily on mathematical and computer science skills, statistics, analytics, computer science, and other applications. The presentation of the data is the top priority, so senior data scientists must be able to effectively communicate the numbers of a project and present them in an appropriate format for business-minded employees.Read More...
Data scientists differ from traditional data analysts in that they examine data from multiple sources in order to discover previously unseen insights to provide their company with a competitive advantage or address a particular problem. In this way, they examine the psychology behind specific data and numbers in search of causal factors.
Most data scientists have four-year bachelor's degrees, and common undergraduate majors include computer science, economics, mathematics, physics, and statistics. Many senior data scientists may have advanced degrees in these fields.
Those in this position must be comfortable with using computer applications to interpret large amounts data and should be proficient in the Python computer programming language. They must be inquisitive and able to analyze data for many hours to spot trends. Effectively communicating their findings to top-tier leaders in their organization is equally important.
Senior data scientists generally work in office environments during traditional business hours, and co-workers include both fellow IT workers and other supervisors. (Copyright 2017 PayScale.com)