Pez.AI currently has positions open in our Manila, Philippines office.

Data Science Engineer

Our Data Science Engineers are generalists that move between systems development to machine learning to devops. We teach all our Data Science Engineers the principles of software development beginning with the software development lifecycle and testing. From here, DSEs start working on components of our system, eventually understanding the overall microservice architecture built on Docker and Kubernetes. If you want to work in a fast-paced environment with equal parts independence, personal growth, and mentoring, get in touch!

Experience: Entry Level

Job Function: Information Technology

Employment Type: Full-time

Location: Manila, Philippines

Responsibilities

Data Science Engineers are expected to be work independently within a collaborative team environment. This just means you’re responsible for your own deliverables while being willing to ask and give help. Data Science Engineers translate use cases into working software. This happens by drafting requirements and technical specs, which drive the design of the implementation. We build professional software at Pez.AI, so our emphasis is on reliability, consistency, and performance. Prototyping is used to work out requirements and design, while our production software must pass standards of quality necessary to serve people who trust us with their time and data.

To produce high quality software and models, Data Science Engineers collaborate with product managers to ensure use cases are necessary and feasible. They work with QA Test Engineers to ensure their tests are adequate. They collaborate with Devops to ensure components can be released reliably and measure the performance of the systems.

Qualifications
To be successful in this role, you need to

  • Be comfortable with at least one programming language, as we will be teaching you new languages. If you are just learning to program, it will be much harder for you to learn a new language quickly
  • Be familiar with basic data structures, such as arrays, linked lists, and trees
  • Be familiar with datastores, such as a RDBMS or noSQL. Datastores are an essential component in large architectures, and you should at least understand the basics of how to retrieve data from one
  • Be comfortable speaking and writing in English
  • Have laziness, hubris, and impatience <– we’ll teach you this

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