Data Science Blog | Nick Elprin

Nick Elprin is the CEO and co-founder of Domino Data Lab, provider of the open data science platform that powers model-driven enterprises such as Allstate, Bristol Myers Squibb, Dell and Lockheed Martin. Before starting Domino, Nick built tools for quantitative researchers at Bridgewater, one of the world‚Äôs largest hedge funds. He has over a decade of experience working with data scientists at advanced enterprises. He holds a BA and MS in computer science from Harvard.

Domino Paves the Way for the Future of Enterprise Data Science with Latest Release

Today, we announced the latest release of Domino’s data science platform which represents a big step forward for enterprise data science teams. We’re...

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Announcement: Domino is fully Kubernetes native

Last week we announced that Domino is now fully Kubernetes native. This is great news for data science teams and IT organizations building modern DS...

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Reflections on the Data Science Platform Market

Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. In 2018 we saw the “data...

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Model Management and the Era of the Model-Driven Business

Over the past few years, we’ve seen a new community of data science leaders emerge. Regardless of their industry, we have heard three themes emerge...

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Coatue Management Leads $27 Million Investment Round in Domino

We’re pleased to announce that Coatue Management has led a $27 million funding round for Domino, which included our previous investors Sequoia...

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Data Science on AWS: Benefits and Common Pitfalls

More than two years ago, we wrote about the misguided fear of the cloud among many enterprise companies. How quickly things change! Today, every...

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Our Customers Said it Best, as Domino Named a Visionary By Gartner

The team at Domino is proud to be named a visionary in Gartner’s Magic Quadrant for Data Science Platforms. It’s nice to get recognized by third...

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Enabling Data Science Agility with Docker

This post describes how Domino uses Docker to solve a number of interconnected problems for data scientists and researchers, related to environment...

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Domino raises $10.5M in funding for collaborative, reproducible data science

Today we’re announcing that we have raised $10.5 million in a funding round led by Sequoia Capital. For us, fundraising is simply a means to an end:...

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Wisdom From Machine Learning at Netflix

At Data By The Bay in May, we saw a great talk by Netflix's Justin Basilico: Recommendations for Building Machine Learning Software. Justin describes...

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The "Joel Test" for Data Science

It's the sixteenth anniversary of Joel Spolsky's "Joel Test," which he described as a "highly irresponsible, sloppy test to rate the quality of a...

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Data Science Platform: What is it? Why is it Important?

As more companies recognize the need for a [data science platform], more vendors are claiming they have one. Increasingly, we see companies...

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Better Knowledge Management for Data Science Teams

We’re excited to announce a set of big new features that make it easier for you to find and reuse past data science work in your team and...

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“Unit testing” for data science

An interesting topic we often hear data science organizations talk about is “unit testing.” It’s a longstanding best practice for building software,...

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Visual Logic Authoring vs Code

At some point in their careers, almost every data scientist has written code to perform a series of steps, and thought, “It would be great if I could...

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We've been hard at work delivering exciting new features in Domino. Our latest release included a lot, including the ability to import/share data sets

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About Nick Elprin