Chris Pouliot spent the past five years leading the data science team at Netflix. He has masters degrees from MIT and Stanford; spent six years in the U.S. Navy; worked as a statistician at Google; and currently serves on the boards of multiple e-commerce startups.
Few people realize that Palantir works with a number of nonprofit organizations, assisting in various disaster relief efforts after Hurricanes Sandy and Katrina.
Software might be making data science easier and more accessible for the masses, but stars in the field are pointing to the power of data scientists who embrace creativity and accidents.
“By 2025, 80 percent of the functions doctors do will be done much better and much more cheaply by machines and machine learned algorithms,” said Khosla at VentureBeat’s DataBeat/Data Science Summit.
As companies rush to implement big data and data science projects, employees might want to embrace hot technologies. But solving real problems should be a higher priority, MailChimp’s John Foreman says.
We asked data scientists from Lyft and the Weather Company to tell us how they’re providing very real business value.
Machine learning doesn’t have to give you a headache. It’s just a two-step process of training and scoring, a BigML executive said.
At DataBeat/Data Summit, investors said they are funding technologies that level the playing field by making it easier for anyone to build predictive models.
VentureBeat talked with a series of data scientists who went on to become founders and CEOs, to learn more about how their background informs their leadership, product, and overall business strategy.
Two data scientists at Pinterest open up about some of their projects and the bigger goals of all their nerdy work.
Online petitions platform Change.org reached a huge milestone today, when its 50 millionth user registered on the site.
Data scientists are the new rock stars. At Devbeat, we heard from Pivotal’s team lead Hulya Farinas about how developers can make the jump.
The company develops APIs for custom analytics. Today it announced locking up $2.35 million in financing to cement its foothold in current verticals, which includes ad tech, gaming, and the Internet of Things, and go after other verticals.
Intuit just acquired LevelUp Analytics, a consulting company that is focused on the emerging field of data science and analytics.
VentureBeat will be hosting DataBeat, Dec. 4-5 in Redwood City, Calif., together with the Data Science Summit, giving attendees an unparalleled cross-seciton of ideas and experts from data science, analytics, and the business of big data.
The Silicon Valley-based fund aims to be a Y Combinator of sorts, but specifically for big data and analytics startups.
Behind UC Berkeley’s struggle to produce graduates with 21st century job skills.
The term “patient engagement” is often discussed as a vital component of health industry innovation, but rarely explained. There’s just one thing many experts agree on: Patients are not well-engaged with their own health care.
“Big data” startup Deep Information Sciences has raised $10 million in its first round of funding to help its customers with a “new approach” to database architectures.
Guest Post More than ever, companies are seeking out talent with deep analytical skills who can find the value in their data. Here’s who you should hire.
HG Data uses a data-driven approach to help salespeople build lists of potential enterprise customers, and is ready to disrupt the legacy IT market.
A San Francisco-based startup called Kaggle is taking on the talent shortage, whether through its data science competitions or a new service launching today, dubbed “Kaggle Connect.”
Guest Post President Obama’s former campaign’s director of digital analytics, Amelia Showalter, is now a kind of political sabermetrician-for-hire.
Is your startup struggling to solve a tricky data challenge? Data science startup Kaggle is launching a program today to rally its community of 70,000 statisticians from around the world to solve your most enduring problems.
Nate Silver, the geek hero who correctly predicted all 50 states in the 2012 presidential election using data science, says he expects to be back for 2014 and 2016.
Guest Post While I’m pleased with the outcome of yesterday’s election in political terms, I’m equally thrilled about the victory for data science versus gut instinct, philosophy and fundamentals.
Bright.com, the recently-launched startup with a scientific method to match you with a dream job, has found something cool to do with its backlog of employment data.
Props to Facebook HR! Finally, a detailed description of what a “data scientist” actually is. Join the team that analyzes raw data to probe the motivations of human behavior (for fun).
Data scientists are like the supermodels or football players of the enterprise world: highly in-demand and earning sky-high salaries in their prime but insecure about their future prospects.
The science of selling tickets may appear simple, but ticketing giant Ticketmaster is sitting on a treasure trove of unexplored transaction data, and even social data, it can use to better understand its customers and sell more tickets. To lead the expedition, the company has hired data guru John Carnahan.
Some of the world’s biggest tech companies from Google to Facebook are data-driven, but few startup founders have any idea what a data scientist does, never mind whether they should hire one. Here is VentureBeat’s guide to data science for startups.
“Spec work” is a term of derision in the creative industries, applied to work that’s done for free to win a prize or a contract. But for some, the model has worked so well that Kaggle is applying the model to science.