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Head Of Data Science

Company

Populix

Address Jakarta Barat, Indonesia
Employment type FULL_TIME
Salary
Category Penerbitan Konten Online
Expires 2023-08-23
Posted at 9 months ago
Job Description
About Us


Populix is a consumer insights platform that helps businesses connect with its database of respondents and provides them with insights to better understand the preferences of Indonesian consumers. Populix has a pool of over 350,000 diverse, readily accessible, and highly-qualified respondents across Indonesia. Its products range from intensive research studies to simple surveys and can be arranged on a project or subscription basis. Focusing on the fact that Indonesian consumers are super sticky to their phones, Populix facilitates a diverse range of data collection methods via its mobile app.


What you will do:


  • Build, train and optimize machine learning models and algorithms to provide data-driven insights to clients
  • Lead the development and implementation of large language models for Populix's products and services
  • Communicate effectively with clients, stakeholders, and other team members to deliver high-quality AI-driven solutions
  • Work collaboratively with cross-functional teams to identify areas for AI-driven innovation and develop strategies for delivering them
  • Develop and implement NLP models for text classification, text completion, sentiment analysis, etc


What you will need:


  • Expertise in the latest ML techniques and deep learning frameworks such as Tensorflow, PyTorch, etc
  • Strong knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
  • PhD or Master's degree in Computer Science, Mathematics, Statistics, or related fields
  • Demonstrable track record of developing novel algorithms, publications in top tier conferences/journals
  • Minimum 5 years of relevant experience in data science, with at least 2 years of leadership experience
  • Strong SQL and noSQL skills
  • Expertise in common data science toolkits, such as R, Weka, NumPy, MatLab, etc
  • Experience in working with large datasets and distributed computing environments
  • Great communication skills with the ability to explain complex concepts to non-technical stakeholders


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