Company Description

Traveloka is a Southeast Asian internet unicorn focused on travel and mobility. Currently valued at over $4B USD after 7 years, we're rapidly expanding in the region and globally. The Data Team at Traveloka has had enormous growth over the past year and requires a Data Scientist focusing on Computer Vision to help us drive impact through enabling content-centric use-cases. The Data Team comprises a large, diverse team of engineers, analysts, data scientists, machine learning engineers, and product managers and the Platform, Data Science, Machine Learning and AI, and Analytics groups for the organization.

Job Description

As a Data Scientist, you will be responsible for:

  • Given a business problem and requirements from business stakeholders, identify objective functions and ML algorithms that should be used.
  • Understand the trade-offs of different modelling choices and have a point of view on the trade-offs. Communicate the choices to stakeholders and be able to support your point of view.
  • Implement and deploy ML models in collaboration with the engineering team.
  • Monitor and perform analytics on deployed models in order to evaluate model drift and assess when the model should be retrained.
  • Communicate with stakeholders within the data team and the business team and bridge those requirements with the engineering team
  • Share knowledge by mentoring, pairing, and collaborating with other other data scientist, analysts and engineers.

Qualifications

  • Strong technical background, preferably from statistics, computer science, mathematics, or other quantitative backgrounds
  • Experience in deploying machine learning models to production
  • Strong programming ability, preferably in Python
  • Proficiency with git, CI/CD, and deployment automation
  • Good knowledge of SQL, NoSQL and databases
  • Experience with Google Cloud Platform is a benefit
  • Experience in deploying machine learning models related with marketing context is a benefit

Working at Traveloka

  • You will work in cross-functional teams and meet great people regularly from top tier technology, consulting, product, or academic backgrounds. 
  • We work in an open environment where there are no boundaries or power distance. 
  • Everyone is encouraged to speak their mind, propose ideas, influence others, and continuously grow themselves. 
  • Get the exposure to multi-aspect, collaborative, intensive startup experience with our recent expansion into Southeast Asia and exploration of new products. 

 

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