Job Openings Data Science Manager (Tech Unicorn)

About the job Data Science Manager (Tech Unicorn)

We are recruiting on behalf of one of Tech Unicorn companies in Indonesia and they are looking for a Senior 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 RESPONSIBILITIES:

On a typical day, you will:

  • Build, scale and evolve our recommendation and ranking services.
  • 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

REQUIREMENTS: 

  • Solid programming skills and understanding of statistical models
  • Bachelors/Masters/PhD degree from top universities in a quantitative field (Physics, Mathematics, Computer Science, Engineering, etc.
  • 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
  • Minimum 4 years of experience in the same fields
  • Experience in recommender and ranking system is a plus
  • Experience in team management is an added advantage