Why Study Statistics?
Careers in statistics are fun. You could be a “Moneyball”-style statistician who helps professional sports teams pick the next season’s new players, or a member of the data science team of a U.S. presidential campaign. The field is filled with opportunities to work on interesting problems with other smart, dynamic people.
Statistics is a science. It involves asking questions about the world and finding answers to them in a scientific way. If you are curious about how things work, statistics is a career that will keep your curiosity piqued and your brain engaged.
Demand for statisticians is growing, and so are their salaries. The median salary for data scientists with less than three years of experience is $80,000, and $150,000 for those with nine or more years of experience, according to the Burtch Works 2014 report.
Statisticians are diverse, and so are their jobs
No matter what you call them—statistical scientists, data scientists, quants or analysts—statisticians are a diverse group of people with one thing in common: they use statistics to draw valuable insights from data. Meet some up-and-coming statisticians who are making a difference and having fun while they do it.
Statistician Megan Price Promotes Social Justice and Human Rights
December 21, 2015
Megan Price uses statistics to answer important questions about social justice and human rights. She travels the world to collect data, some of which has been used as evidence in the prosecution of war crimes. Another interesting fact about Megan, she's a second generation statistician. Her grandfather was a statistician during the Cold War who used statistics to identify objects in space.
Deepak Kumar, LinkedIn Principal Data Scientist
July 9, 2015
This video features Deepak Kumar, a principal data scientist at LinkedIn. He shares his thoughts on why statistics is so important and why it's such an interesting career.
Why You Need to Study Statistics
April 2, 2015
Statistics isn't just about data analysis or numbers; it is about understanding the world around us. And because the opportunities in statistics are so diverse, you can apply your knowledge to nearly any area you're passionate about, such as the environment, healthcare, human rights and sports. There's never been a better time to study statistics. Hear these accomplished statisticians explain why they chose to study statistics, and why you should too.
Chandra Erdman, U.S. Census Bureau
December 8, 2014
Chandra had her pick of prestigious positions when she graduated with a PhD in statistics from Yale. After considering tenure-track university teaching jobs and positions with corporate firms like Goldman Sachs, she chose to join the U.S. Census Bureau. Chandra explains why she loves being a statistician and how a job with the U.S. Census is way cooler than you might think.
Genevera Allen, Rice University & Baylor College of Medicine
July 21, 2014
One of the biggest hurdles to understanding the role of genetics in human health is making sense of the massive amounts of data that make up our DNA. Genevera uses statistics to extract meaning from big data sets, helping medical scientists uncover the relationships between genes and serious conditions like autism and cancer.
Roger Peng, Johns Hopkins University
July 2, 2014
What impact will extreme weather events—such as droughts, floods and heat waves—have on human health? That’s one question statistician Roger Peng is working to answer. Through statistics, he’s developing a better understanding of the health risks of climate change on vulnerable populations.
Work in virtually any sector and corner of the world
With a career in statistics, you’re not limited by geography or industry. Statistics jobs are all over the U.S. and around the world. Work for a high-tech company in Silicon Valley, a humanitarian organization in New York City, a global pharmaceutical company in Europe, or a business consultancy in India. The possibilities are too numerous to list, but you can get a sense of the places that employ statisticians by exploring the map below.
These organizations represent the tip of the iceberg when it comes to career opportunities for statisticians. To learn about more sectors that hire statisticians, go here.
What education is needed to become a statistician?
Most statisticians have a degree in statistics or applied mathematics or a closely related field. Increasingly, many also have some education or background in computer science. But the specific degree and level of education of a statistician or data scientist can vary widely depending on the individual, the sector and the job.
For example, a data scientist working for a tech company might have a bachelor’s or master’s degree in statistics. That’s the case with Olivia Angiuli, a statistician at the popular question-and-answer website Quora. Similarly, Shannon Cebron, a data scientist at a software company, has a bachelor’s and master’s degree in applied math and statistics. Others may have a master’s degree in another field, such as urban planning, with advanced coursework in statistics, such as Cassie DeWitt, an urban data scientist at the Detroit Fire Department.
Statisticians working in advanced research and academic positions—such as Georgetown professor Kimberly Sellers, Genevera Allen of Rice University, and Roger Peng of Johns Hopkins University—typically have a Ph.D in statistics.
But what if you’re preparing for a career in another field, such as journalism or marketing? It’s still worth taking at least one college-level course in statistics. In this era of Big Data, more and more jobs require statistical literacy and skills in data analysis. For example, Jeremy Singer-Vine, data editor at Buzzfeed and author of the Data is Plural newsletter, took a few classes in statistics as an undergraduate to land a job in the emerging field of data journalism.
The bottom line is that statistics education can be tailored to your unique path. The first step is simply enrolling in a statistics course, whether you’re a high school or college student, and then opening yourself to its power and potential.