News from the Front Lines of Data Science and Business, Part 2: Navigating the Data Science Job Market
There is immediate and tremendous need for professionals with formal data science training to apply their skills in non-data-native business environments at multiple levels of technical complexity.
Beth Partridge, a 2017 MIDS grad, 18-year veteran at Intel, and CEO of an enterprise AI consultancy called milk+honey, will deliver insights she wishes had been available to her when she was a MIDS student. Insights that could guide your degree and career. Beth will address the dysfunction that plagues both the hiring and work support processes in non-data-native businesses, and explore ways to overcome inherent challenges. Inconsistency and confusion abound, and old models for hiring and organizing technical teams don’t work for data science. Beth will explain what’s currently happening, what to look for in each opportunity, and how to begin preparation now.
Founder, CEO, and Chief Data Scientist
Beth brings nearly 30 years of executive-level experience in manufacturing, product engineering, quality control, technical support and operations. Her formal training includes a BS in electrical engineering and a Master of Information and Data Science from UC Berkeley. Beth is that rare executive with a powerhouse combination of natural leadership, deep technical experience and impeccable execution skills. milk+honey is born from her hard-won understanding that success in business now requires a deep commitment to data-driven decision making, and development of a culture of experimentation and innovation at all levels of an organization. She is filled with excitement about the data revolution and the profound transformation that’s upon us.