From Music PhD at Stanford to Data Scientist in Europe
NYCDSA Alumnus, Alex Sigman, will share his experience changing his career to data science after graduating with an PhD in Music Composition
Although becoming qualified as a data scientist requires a set of core technical competencies, the educational and professional backgrounds of individuals entering the field have become increasingly diverse in recent years. This talk will address ways in which someone with a less typical profile can harness their knowledge and experience and build a career in data science.
On Wednesday, Oct 13th at 3PM EST, NYCDSA Alumnus, Alex Signman will cover Topics such as:
Navigating the transition between academia and industry
Finding the best-fit working environment and role
Relevant professional development resources
The day-to-day challenges encountered at an AI music technology startup
This talk is non-technical. Some basic math, data science, and programming concepts will be referenced, but it’s not critical for following the discussion.
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