Data Science Articles

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Updated on April 27, 2024

Inside MongoDB’s Quest to Make Databases Magical

How the company’s CTO is fulfilling his career-long dream of making data ‘stunningly easy’ to work with

Jason Cottrell Jason Cottrell
Updated on April 27, 2024

The 4 Tech Skills You Need to Stay Employable Far Into the Future

Basics, trends, data, and soft skills.

Brigid Hogan Brigid Hogan
Updated on April 26, 2024

‘A New Program Supporting Startups’: Inside Merck Digital Sciences Studio

What happens when an industry-leading biopharma company and early-stage startups collide? Merck Digital Sciences Studios comes to life. Built In dives into the details.

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Olivia McClure Olivia McClure
Updated on April 26, 2024

When Danger Arrives, AlertMedia’s Global Intelligence Team Helps Protect Workers

By identifying and monitoring crisis events worldwide, this team helps organizations make critical decisions to protect their people. Learn how they do it, and why.

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Frank Kane Frank Kane
Updated on April 25, 2024

Machine Learning Engineer vs. Data Scientist: What’s in a Name?

What jobs should you be applying to? Let’s break it down.

Dawn Kawamoto Dawn Kawamoto
Updated on April 25, 2024

How to Ace a Data Scientist Job Interview With American Express

Applying for an analytics role at Amex? Insiders reveal the questions you’re likely to be asked.

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Kirill Eremenko Kirill Eremenko
Updated on April 25, 2024

Careers in Data Science: How to Get Started

If you’re biding your time and waiting to get into data science, don’t. Companies are looking for you and they’re willing to pay.

Carly Gundy Carly Gundy
Updated on April 25, 2024

Tech Needs More Women in Engineering

Here’s how we can debug the gender gap.

Daniel Rödler Daniel Rödler
Updated on April 24, 2024

A Feast of Sensor Data: Feeding Self-Driving Algorithms

Warning: Number-crunching incoming — get your calculators ready!

Stephen Gossett Stephen Gossett
Updated on April 24, 2024

How to Run a Remote Data Team

We asked three remote-work veterans for advice on running distributed data teams more effectively.

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