Julia Silge is an engineering manager at Posit PBC, formerly know as R-studio, where she leads a team of developers building open source software MLOps. Before Posit, she finished a PhD in astrophysics, worked for several years in the nonprofit space, and was a data scientist at Stack Overflow where some of her most public work involved the annual developer survey. We talked about MLOps tools, challenges in survey data, text analysis, and balancing her interests in data science and engineering.
Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
Daliana's Twitter: https://twitter.com/DalianaLiu
Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/
(00:00:00) Introduction
(00:00:56) Getting into data science
(00:04:50) Transition from data centers to engineering manager
(00:14:04) Common challenges in tool development
(00:17:38) Challenges with survey data
(00:26:47) Engineering skills for data scientists
(00:28:59) Balancing roles
(00:34:49) Developing skills in Exploratory Data Analysis (EDA)
(00:39:19) Python vs. R for data analysis
(00:44:40) Exciting aspects in career and personal life
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By Daliana Liu
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Julia Silge is an engineering manager at Posit PBC, formerly know as R-studio, where she leads a team of developers building open source software MLOps. Before Posit, she finished a PhD in astrophysics, worked for several years in the nonprofit space, and was a data scientist at Stack Overflow where some of her most public work involved the annual developer survey. We talked about MLOps tools, challenges in survey data, text analysis, and balancing her interests in data science and engineering.
Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
Daliana's Twitter: https://twitter.com/DalianaLiu
Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/
(00:00:00) Introduction
(00:00:56) Getting into data science
(00:04:50) Transition from data centers to engineering manager
(00:14:04) Common challenges in tool development
(00:17:38) Challenges with survey data
(00:26:47) Engineering skills for data scientists
(00:28:59) Balancing roles
(00:34:49) Developing skills in Exploratory Data Analysis (EDA)
(00:39:19) Python vs. R for data analysis
(00:44:40) Exciting aspects in career and personal life
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