OverviewSuggest Edit provides an enterprise data science platform that combines the tools, libraries, and languages data scientists know with the infrastructure and workflows their organizations need. The Company maximizes the way data scientists like to work, so they can solve the right problems, create better analyses, amplify their results, and put more work into production — all from one place.
HQCulver City, CA, US
Employee Ratings4.1
Overall CultureD-

Latest Updates

Employees (est.) (Feb 2020)86(-7%)
Cybersecurity ratingBMore

DataScience Office Locations

DataScience has an office in Culver City
Culver City, CA, US (HQ)
200 Corporate Pointe #200
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DataScience Financials and Metrics

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Founding Date


DataScience total Funding

$28 m

DataScience latest funding size

$22 m

Time since last funding

5 years ago

DataScience investors

DataScience's latest funding round in December 2015 was reported to be $22 m. In total, DataScience has raised $28 m
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DataScience Cybersecurity Score

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DataScience Online and Social Media Presence

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DataScience Company Culture

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DataScience Blogs

Explain the "So What?" Behind Machine Learning Models with the Expected Value Framework (Part 1 of 3)

As a practitioner in machine learning, I value keeping up to date on the industry’s evolution in order to be competitive. I yearn to ingest new information about the latest trends, developments and happenings in the machine learning/deep learning/artificial intelligence/[FILL IN THE LATE…

How to Build a Face Recognition Application with 4 Lines of Code

In this article, you will learn how to build a simple face recognition application. A facial recognition system is an application capable of identifying people from images or videos. This can be done by comparing facial features of the image with a faces database.

The 7 Dimensions of Data Maturity

With the number of data-driven businesses in decline and the number of legacy businesses being disrupted on the up, we wanted to create a deeper understanding of what it actually means to be data-driven and what it would take for businesses to improve their data maturity.

Artificial Intelligence Use Cases in FinTech

Almost all predictions, analysis, and forecasting reports show that the use of artificial intelligence (AI) is on the rise. The banking industry has taken a particular interest in the technology.

Using Social Media Data to Build an Audience Attribution Platform

Linear TV publishers and advertisers have historically been unable to adequately measure audience engagement and preferences for their specific television shows and movies. This has led to an inability to build advertising-based products across content platforms. In contrast, digital med…

3 Ways AI is Used in Business Process Optimization

In the age of digital disruption, even the world’s largest companies aren’t impervious to agile competitors that move quick, iterate fast, and have the capacity to build products faster than their peers. That’s why many legacy organizations are taking a closer look at business process ma…
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DataScience Frequently Asked Questions

  • When was DataScience founded?

    DataScience was founded in 2014.

  • How many employees does DataScience have?

    DataScience has 86 employees.

  • Who are DataScience competitors?

    Competitors of DataScience include DataRobot, and Amesite.

  • Where is DataScience headquarters?

    DataScience headquarters is located at 200 Corporate Pointe #200, Culver City.

  • Where are DataScience offices?

    DataScience has an office in Culver City.

  • How many offices does DataScience have?

    DataScience has 1 office.