When hiring data scientists, it's a fight for talent. To help fill the talent gap, companies need to focus on the talent sitting right in front of them; to align recruiting practices with skilling and upskilling their current employees, enabling and empowering them to take on the tasks that the 4th industrial revolution is already demanding.
Javed Ahmed is a new Sr. Data Scientist at Metis who enjoys exploring the intersection of econometrics, traditional analysis, and machine learning to develop useful operational insights. We caught up with him to discuss his views on corporate data science training, his overall career, and details of his upcoming free webinar on Data-Driven Approaches to Data Science, which is scheduled for September 26th.
This post from Metis Sr. Data Scientist Kimberly Fessell covers the basics of object detection: what it is, various approaches to it, the measurements used to judge its results, along with a few important considerations of modern object detection.
"We find that [Metis graduates] are eager to do well and to achieve....that earnestness is actually refreshing," said Lynn Hodak, Corporate Recruiter for Artificial Intelligence and Analytics at Capgemini. Read here for a breakdown of her interview with Course Report about why she hires so many Metis grads.
We recently hosted a live Ask Me Anything session with Nathan Grossman, Data Scientist at Wells Fargo and Instructor of our upcoming Introduction to Data Science course. He answered questions about his career, what it takes to be a successful data scientist, and what students should expect of his upcoming course. Here, read a recap of the hour-long chat. Course starts Monday, September 9th!
In July, we hosted our 3rd annual Demystifying Data Science live online conference. On Day 2, we offered 8 talks and 3 workshops filled with content geared toward an audience of Data-Focused Business Leaders and Practitioners. We couldn't have asked for a better way to start the day than by hearing a keynote talk from Hilary Mason, General Manager of Machine Learning at Cloudera. Read a recap of it here + get access to the recording for free.
Data scientists are often described as hybrids: part statistician, part computer scientist; part analyst, part strategist. But while we focus on the myriad technical skills that a data scientist should possess, we often overlook one of the foundational skills (without which the whole edifice falls apart): communication skills. In this post, read three tips for improving your professional communication skills.
Considering her career path and where she is now, it’s remarkable to think that Tiffany Moeller has never taken a college-level math course. Read how she went from earning a degree in counseling to finding her way into data science and engineering, all the while finding motivation from the idea of using data for social good.