We’re looking for problem solvers with a passion for data.
Be part of a dynamic data science startup that’s results-oriented,
civic-minded, and invests in the growth of every person on the team.
Thinking Machines is a data science startup. Our vision is for the Philippines to become a global hub for data science. To do that, we create data science cultures, one organization at a time.
We’re a company made up of intellectually curious, civic-minded, forever-learning individuals. We believe that great data science products are built with care for people, and that the best way to drive inclusive innovation is to start with a diverse team.
We are committed to keeping Thinking Machines an inclusive workplace that welcomes any age, race, national identity, gender identity, sexual orientation, religion, or marital status. In all cases, we will nurture our team's hunger to learn, drive to succeed, and ability to deliver exceptional work.
Our field of work is incredibly dynamic, so we want to work with people who are committed to growing with us. We want to hire people who can demonstrate an ability to learn, then provide them with personalized coaching, growth opportunities, and a great working environment to get them to world-class.
Want to use data science for social good? Help us grow our relationships with organizations in the development sector.apply now
Develop beautiful and intuitive web apps for our cutting-edge data science solutions.apply now
Architect full machine learning products with our cross-functional teams.apply now
Collect, store, and guard the lifeblood of our organization—data.apply now
Design, implement, and communicate technical architecture to our biggest clientsapply now
Formulate, pitch, and execute data-driven business decisions.apply now
Deliver complex data science projects successfully and on time.apply now
Support the company's operations as we enter hypergrowthapply now
Be exposed to all aspects of data science and find your specialization.apply now
We tackle some of the nitty-gritty, advanced statistical concepts that must be addressed by statisticians and data scientists when adopting A/B testing in practice.
One of the biggest promises of data science is for business owners and executives to be able to understand the causal relationships and fundamental drivers that underpin their business. Find out how A/B tests can be leveraged to do just that and why you should.