Sequencing genes. Studying Twitter posts. Researching what seeds grow best in which soils. Cataloging stars. Data scientists are at work in all these scenarios, collecting data and finding the meaning in it — helping organizations discover relationships between genes and disease, determine how to target products to customers’ interests, yield more crops, map the universe.
“There's something beautiful about making data tell a story,” said Roger Barga, general manager and development director at Amazon Web Services. “It's like solving a riddle or finding the treasure in a treasure hunt.”
Making Sense of All the Data
Mining knowledge from data is easier said than done. Data sets can be unimaginably large (you’ve heard of big data) and difficult to store and process. As a data scientist, you might need to integrate data from various sources — smartphones, sensors, the web, etc. — or grapple with unstructured data. And that’s just the beginning.
Washington state: 48%
Median Annual salary
Washington state: $142,180
Sources: Bureau of Labor Statistics, O*NET
In this role, you’ll need to use a range of techniques and tools, such as statistics, algorithms, machine learning, text retrieval and natural language processing, to analyze data and interpret the results. And there’s one more crucial thing a data scientist needs: curiosity.
“Data scientists have to be curious about the data. Explore the data. Ask questions and combine different data sets together,” explained Barga, who is on the advisory board for UW Professional & Continuing Education's Certificate in Data Science. “It’s that end-to-end thinking that differentiates an effective data scientist.”
Data Scientists Needed to Meet Growing Demand
With the power to transform raw data into decision-making insights, it’s not surprising that data scientists are in high demand. According to the Bureau of Labor Statistics, demand for computer and information research scientists — which includes data scientists — is expected to grow nationally by 16% by 2028 and by triple that in Washington state.
This kind of demand does not surprise Bill Howe, senior data science fellow at the UW eScience Institute and associate professor in the Information School. “There’s a lot more data than there used to be,” he said. “Every company, large and small, is doing the kind of analysis required to accurately predict what will sell.”
Industry isn’t the only area where the use of data science is growing. “Data science is having a transforming effect in the science fields,” Howe said. “Astronomy, earth sciences, oceanography, political science, social science — these are just a few examples of fields where exciting work is happening using data science.”
Data is everywhere, and so are data jobs. “If you’re good at data, you can go anywhere and get a job,” said Howe.
Furthering Your Education in Data Science
Interested in data science? Check out our Certificate in Data Science and other related programs: