Data Scientist, IT Salary
Job Description for Data Scientist, IT
IT data scientists are responsible for mining complex data and providing systems-related advice for their organization. They design new ways to incorporate vast information with a focus on information technology topics. They work with teams of other IT professionals to manage statistical data and create different models based on the needs of their company. They possess advanced analytical skills, in addition to their exceptional oral and written communication abilities. They process research information for easier consumption and transform it into actionable plans. They also provide value to their businesses through their findings and thoughtful insights.Read More...
IT data scientists follow specific, strict company and industry guidelines in their work. They observe data privacy rights to ensure client satisfaction and avoid legal issues. They create networks of professionals to consult, including internal partners and external colleagues. Most of the time data scientists work in teams using collaborative filtering, k-nearest neighbors, market basket analysis and matrix factorization methods. They deal with cutting edge technologies on a regular basis, and often have the best tools available at their disposal. One of their main work tools is usually an industrial computer with high processing power and proprietary software applications for research tasks.
IT data scientists usually must possess previous work experience in a similar position. They should have advanced knowledge of different data mining techniques such as clustering, regression analysis, decision trees and support vector machines. An advanced degree (such as a PhD) in computer science is usually required for this kind of position, in addition to previous years of work experience in a related field.
Data Scientist, IT Tasks
- Perform and interpret data studies and product experiments concerning new data sources or new uses for existing data sources.
- Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis.
- Design and build new data set processes for modeling, data mining, and production purposes.
- Determine new ways to improve data and search quality, and predictive capabilities.
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Popular Employer Salaries for Data Scientist, IT
Well-known firms with a reputation for hiring numerous IT Data Scientists include International Business Machines (IBM) Corp., Booz, Allen, and Hamilton, Amazon.com Inc, American Express Co. (AMEX), and Microsoft Corp. The biggest paychecks can be found at Amazon.com Inc — the median salary there is $147K.
Booz, Allen, and Hamilton offers the lowest pay in the industry by far, with a median salary less than half of the top paying employer's rate ($67K).
Popular Skills for Data Scientist, IT
IT Data Scientists seem to exploit a large range of skills on the job. Most notably, skills in Hadoop, Machine Learning, Apache Hadoop, and Python are correlated to pay that is above average. Skills that seem to negatively impact pay include Microsoft SQL Server, Object Oriented Programming, and R. Most people familiar with Data Analysis also know Machine Learning and Data Mining / Data Warehouse.
Pay by Experience Level for Data Scientist, IT
Median of all compensation (including tips, bonus, and overtime) by years of experience.
IT Data Scientists with a lot of experience tend to enjoy higher earnings. Individuals with fewer than five years of experience earn $91K on average, but those in the five-to-10 year group see a six-figure median of $109K. IT Data Scientists who work for 10 to 20 years in their occupation tend to earn about $121K. IT Data Scientists who have spent more than 20 years on the job report earning a significantly higher median of $149K.
Pay Difference by Location
IT Data Scientists can earn above-average salaries when they head west to California. Specifically, Mountain View, San Francisco, and San Jose represent the three top-paying cities for IT Data Scientists in the United States. IT Data Scientists in Cleveland make 30 percent less than the national average, proving that location is a major factor in pay. Workers in Washington and Dallas earn less than others in this profession; their salaries fall short of the national average by 16 percent.
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