While lockdowns ease, the economy and tech sector are sorting themselves out in new and different ways. Demand for technologies suddenly must match new consumer habits. And data is more important than ever. What does this mean for data scientists? Lots of opportunity. As big data continues to play a central role across most sectors, demand for expertise with data will only grow, even as a shortage of data scientists persists.
In 2020 and beyond, the most exciting places for data scientists are in “frontier technologies” like AI, VR and blockchain. …
There is no shortage of jobs for data scientists, but many hiring managers don’t understand the field as well as they should
In 2020’s rapid-onset recession, few companies are looking for new hires — that is, unless the words “data” and “science” happen to be in the job title.
From being deemed the “sexiest job of the 21st Century” by Harvard Business Review to LinkedIn naming it the “Most Promising Job of 2019,” data science is a victim of its own success. …
These accomplished and creative women have important things to say on everything from diversity in design to how to be a little bit threatening.
At a members-only event next week, data scientists can make important connections and hear from leadership expert Harry Kraemer.
We’ve said it before: Data science can be too focused on the problem in front of you. If your work is people analytics, you’re modeling out employee trends all day long; if you’re in the retail industry (and that’s a tough one right now), you’re using every sort of AI to figure out a better supply chain. You go down the rabbit hole.
It’s helpful to hear from others. “I’ve gotten a lot of value from sharing my thoughts with people…
The Data Standard is a new community for data scientists. In addition to our monthly digital live events, we feature community members and data science leaders in our content. Visit our site to learn more and become a member.
Developing personal finance products for Intuit “won’t be solved with a lot of data and a laptop,” says Nhung Ho, director of data science at Intuit, which owns TurboTax. That’s why, six years ago, Intuit decided to move into the cloud and begin its AI-driven transformation.
Ho recently spoke with The Data Standard on how she successfully led this migration. This…
The next digital gathering of the Data Standard community will take place on June 9th over Zoom. Every month, leading data scientists come together on these calls to network, share work and learn from others. On June 9th, our featured speaker will be leadership expert Harry Kraemer Jr., who is a professor at the Kellogg School of Management at Northwestern University and the author of From Values to Action: The Four Principles of Values-Based Leadership.” Attendees will receive a free copy of his book, click here to reserve your spot.
Data scientists have great statistical thinking, creativity, multi-modal communication skills…
A sibling of small business owners shares how she went from PhD in astrophysics to working with data and cloud for the tax giant.
by Maryann Jones Thompson
In 2020, The Data Standard community was formed to build a new community for leading data scientists to come together and share what they’re working on and get input from others.
This community includes people who are like Nhung Ho, director of data science at Intuit, who shared her experiences recently with The Data Standard:
Sometimes a light bulb goes off and your whole life changes. For Ho, it was a moment…
The pandemic has thrown a lot of models out of whack, with data trending in new and different directions. This is even more the case in the health sector, where data modeling is tricky enough given strict HIPAA rules about the movement and storage of medical records. Medical devices will need a lot of data wrangling, but modeling offers a smart way to test the boundaries of medical devices. Here are five tips for masterful modeling in these times:
- Use NLP and deep learning to read clinical notes and observe patient behavioral data instead of structured data to predict effectiveness…
The scourge of COVID-19 gets a close look by data experts at George Washington University and elsewhere
Last month, Facebook, which found itself at the center of the 2016 Russian disinformation campaign, announced that it would go on the offensive with misinformation about COVID-19.
The social network said it would begin directly contacting users who had liked, reacted or commented on “harmful misinformation” about the virus that was later removed by the social network.
But how does misinformation — inaccurate or misunderstood information, as opposed to the active creation of falsities in disinformation — spread in the first place?
How one data scientist turned the “voice of the customer” into actionable data
by Maryann Jones Thompson
At The Data Standard, we look for interesting applications of data by leading thinkers in data science. We recently unearthed one such example at TD Ameritrade, where Beaumont Vance is Director of AI, Chat and Emerging Technology. He’s leading the company’s initiative around the “voice of the customer” — gathering data and insights on millions of customer interactions. We spoke with Vance about building this program — his “aha! …
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