“He’s got game” usually refers to someone’s athletic skills or romantic swagger. In Anthony So’s case, he’s got mad game…data science game — arguably, the hottest skills in the business world today. The difference is, in most industries, after a long day of mining data, analysts don’t “step out of the office and into the game” the way So and his colleagues do at Talking Stick Resort Arena. As a Basketball Analytics Analyst for the Phoenix Suns, So uses his data science know-how to help give his team a winning advantage. And then there are the perks, like being flown to last month’s MIT Sloan Sports Analytics Conference to mind-meld with other athletic data champions and soak up insight from statistics guru Nate Silver. So has come a long way from his college days, when he was toiling in a bioengineering lab and questioning his career path. The 30 year-old is a Jersey boy, raised about 30 minutes east of Philadelphia. He’s always been a sports fan, but basketball is his bae. As a kid, even more than playing hoops and rooting for the Sixers, So was drawn to the stats. He would pull the sports section from his parents’ newspaper and comb through the box scores, comparing the names and numbers to the ones on his NBA trading cards. Since playing college ball wasn’t in the cards for So, and a data-driven “Moneyball” approach to pro sports wasn’t yet a thing, he studied bioengineering at UPenn. Then reality set in. So wasn’t passionate about bioengineering, and he felt hemmed in by the rigidity of the program. He longed to explore other topics, to take shots at “applying my skills and analytical mindset toward another industry.” He channeled some of his curiosity into his senior thesis, The Limits of Human Athletics. He finished his degree and promptly pivoted to the world of finance. Despite having no business experience and a steep learning curve, So forged himself into a financial analyst at Delaware-based asset management company BlackRock, providing data and risk analytics to portfolio managers, along with insight into how their funds were performing. In his free time, he created his own data sets to evaluate basketball players the way he assessed portfolio holdings, and blogged his analyses. Then he came across a job posting looking for candidates capable of performing data analysis on basketball-related issues. He first tried to hone his data science game by taking online courses. Deterred by the time it would take to pursue a traditional Master’s degree, and “excited for the opportunity to be part of a community where people really understood the type of skills I was looking for,” So bounced to San Francisco and focused on sharpening his data science skills at Galvanize. Upon graduating from the program and leveraging the Galvanize network he scored a data science tryout with the Phoenix Suns. After a summer internship, So accepted a full-time position with the Suns and spends his days juggling multiple tasks such as preparing a post-game breakdown of the Suns’ performance, scrutinizing an opponent’s strengths and weaknesses or which players are doing well on the 3-point line. Another facet of the job is getting a data-driven feel for the assets rival NBA teams may be considering or coveting for potential trades. It’s not just that So found his sweet spot at the intersection of pro basketball and data science. There is an inherent challenge in applying analytics to athletics that he finds more compelling than dissecting mutual funds or tinkering in a bioengineering lab. Immersing himself in these challenges and the data that informs big league decision-making “has made my love for the game stronger,” So says. For a data science all-star living the dream, he’s refreshingly grounded. “Data science helps me answer the questions that I’m curious about,” he adds with a grin, “and luckily, I was able to make a profession out of it.” Read more inspiring stories at Tech.Co.
