I love working with real-world data to solve problems. Ĭould you tell us about your Data Incubator taxi project? It was really cool we’d love to feature it.
Being inquisitive is an extremely valuable habit in this business. I think it is important to practice digesting new datasets from many domains from scratch without any specific goal. It’s important to become comfortable with a specific tool-set and to rapidly produce statistics, models, and visualizations that can be used to explain the underlying phenomena to others.
Third, being able to work quickly on a new problem or dataset to develop actionable insights is a very valuable skill for data scientists. It is really much more impactful to show a future boss what you have done than it is to tell them. Second, having a portfolio of one or two items from recent past efforts is valuable when trying to demonstrate your value to a potential future employer. There are many books and websites about this topic, but there is no replacement for the practice time!
In interviews, these kinds of questions are ubiquitous, so whiteboard coding of basic algorithms (sorting, search), data structures, and statistics is always going to be helpful for future job searching. I think the problem solving skills of computer scientists are particularly strong, but there are always skills that we can improve.įirst, practicing fundamental computer science problems beyond one’s research area is critically important. Using the most appropriate algorithm can make problems that are totally infeasible via brute-force actually feasible and even fast to solve. These methods can be much faster than the most obvious brute-force solutions to a problem. In a university setting, we are trained to leverage the benefits of clever algorithms that perform specific tasks very well. What advice would you give to someone who is applying for The Data Incubator, particularly someone with computer science backgrounds?Ĭomputer scientists are a natural fit for data science opportunities principally because computer science is, in many respects, a degree in applied problem solving. The connections formed within the group will help us far into our future careers. Coming together as a group all at once with similar goals to a new city helped to turn what is usually an individual effort into a more collaborative process. It helped me to understand my own strengths relative to others looking for similar opportunities. Being located in NYC and interacting with the other Fellows was very valuable. I know that I benefited from the opportunity to interact so intensively with the wide variety of partner companies in my own search process.Īlso, I especially enjoyed participating as part of the cohort in the NYC Data Incubator. This convergence of interests is very special and benefits everyone involved. The Fellows come ready to demonstrate their abilities, to show how they can add value, and to jump into new opportunities. The partner companies come to the program ready to interact with Fellows and to find good hiring matches that satisfy their needs. The greatest benefit of The Data Incubator is in the ability to ramp up the job search very quickly.
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