At Talkdesk, our Engineering team follows a micro-service architecture approach to build the next generation of Talkdesk, with vertical teams responsible for all the decisions under their services. Through our Agile Coaches, we promote agile and collaborative practices, we are huge fans of Scrum, pair programming and we won’t let a single line of code reach production without peer code reviews. We strongly believe that the only true authority stems from knowledge, not from position and we always treat others with respect, deference and patience.
What are we doing?
At Talkdesk we are reimagining how people experience contact centers, helping our customers create long lasting and meaningful relations with their customers. These relations are made of individual interactions where communication is supported on the language we all learn since the first day we are born. The language that we humans learn to master over the years and use almost without thinking about it. That's how we express our thoughts, feelings and needs when we reach out to a contact center.
The capacity to make sense of the message that is being conveyed when we communicate has been reserved to humans alone, but we are building the next generation of solutions that will mimic our ability to understand language, ensuring that the customer needs are always well understood and efficiently handled. We are a growing team of curious and talented people that is focused on leveraging the power of Natural Language Processing to deliver added value to our customers whenever possible.
What do we need?
We are looking for a talented Data Scientist to integrate the Natural Language Processing team at Talkdesk. We need someone that is a natural problem solver, who likes to be challenged, has the drive to explore and is committed to quality. We expect you to be a truly team player, reliable and easy to communicate with. You will have to leverage different techniques to deliver state of the art solutions around natural language understanding and generation. More specifically, you will have to:
What are we looking for?