Whether you’re kicking off a career or a seasoned pro considering a change, here’s our quick guide to working in Data Science.
Big Data is a gold mine for businesses. It’s used to better understand customers, explore and predict market trends, shape communications, guide business decisions, and boost profits. Data Science is how companies distil massive amounts of information to uncover patterns that solve their most complex business problems. So, it’s no surprise that Glassdoor named Data Science the best job in America for 2016. There’s a tremendous need and the field is soaring.
Don’t be fooled, data scientists aren’t “number crunchers” and their role isn’t just about algorithms. It takes technical prowess coupled with creativity to identify hidden opportunities for business growth and then communicate those insights and next steps to key stakeholders. Their role includes performing large-scale statistical research through the best IT solution, data analysis, and modeling of data for forecasting and financial modeling. They have a solid understanding of statistics and machine learning, as well as tools and technologies like SQL, SAS, R, Python, MATLAB and Hadoop.
Bottom line: Data Scientists have an insatiable curiosity and knack for solving the kind of problems that make most people’s heads spin. Ready to get your Apache on?
Coding, Computer Science, Data Analysis, Machine Learning, Data Mining, Data Management, Data Visualization
The salary range for a data science role depends on work experience, specialty and location. Glassdoor cites the national average for a data science role is $113,436.