Thinking Machines Data Science

IT Services and IT Consulting • Pasir Panjang, Singapore, Singapore • 101-200 Employees

Company overview

Headquarters	Pasir Panjang, Singapore, Singapore
Website	thinkingmachin.es
NAICS	5415
SIC	737
Keywords	Analytics, Geospatial, Data Management, Data Visualization, ETL, Data Science, Data Strategy, Artificial Intelligence, Machine Learning, Data Engineering, Data Storytelling, Data Platform, Document Ai
Founded	2015
Employees	101-200
Socials

Key Contacts at Thinking Machines Data Science

Kayle Amurao

Associate Director For Genai

Rory Torres

General Counsel And Associate Director For Data Governance Solutions

Kevin Thomas Go

Associate Director For Analytics Solutions

Levy Medina Ii

L4 Associate Director Of Engineering Genai And Engineering Systems

Claudia Silva

Associate Director - Data Strategy Consulting

Pamela Cheyne Syling

Associate Director For Technology Delivery

Thinking Machines Data Science Email Formats

Thinking Machines Data Science uses 5 email formats. The most common is {first name} (e.g., john@thinkingmachin.es), used 89% of the time.

Format	Example	Percentage
{first name}	john@thinkingmachin.es	89%
{first name}.{last name}	john.doe@thinkingmachin.es	8.2%
{2char}	{2char}@thinkingmachin.es	1.4%
{first initial}.{last name}	j.doe@thinkingmachin.es	1.4%

About Thinking Machines Data Science

WE ARE HIRING! We’re looking for problem solvers with a passion for data. Be part of a dynamic data technology consultancy: https://thinkingmachin.es/careers/ Thinking Machines is a technology consultancy operating at the intersection of AI, business, and data design. At Thinking Machines, we make our clients successful by building AI & data platforms to solve high impact problems - from identifying where to make the next billion dollar capex investment by applying AI on satellite images, to delivering poverty and hazard maps for civic organizations. We’re a company made up of intellectually curious, civic-minded, forever-learning individuals, and we believe that great data science products are built with care for people. Our team has a mixed background ranging from Stanford Computer Scientists and Engineering Graduates, UX/UI Designers, Software Developers, and Management Consultants.

Thinking Machines Data Science revenue & valuation

Annual revenue	$20,000,000
Revenue per employee	$124,000
Estimated valuation?This valuation is estimated based on industry average for the IT Services and IT Consulting industry and current estimated revenues	$64,000,000
Total funding	No funding

Employees by Management Level

Total employees: 101-200

Seniority

Employees

Entry

Manager

Director

Employees by Department

Thinking Machines Data Science has 131 employees across 11 departments.

Departments

Number of employees

Funding Data

Thinking Machines Data Science has never raised funding before.

Thinking Machines Data Science Tech Stack

Discover the technologies and tools that power Thinking Machines Data Science's digital infrastructure, from frameworks to analytics platforms.

Cloudflare

CDN

Google Workspace

Next.js

JavaScript frameworks

Google Tag Manager

Tag managers

Node.js

Programming languages

Apple iCloud Mail

Webmail

HTTP/3

Miscellaneous

HSTS

Security

Open Graph

Miscellaneous

React

JavaScript frameworks

core-js

JavaScript libraries

web-vitals