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Associate Data Scientist

Your main duties in flying with us:

  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and impact on the business.
  • Do mentoring and guiding junior team members
  • Research and development on novel machine learning techniques, including research paper writing and their applications

  • Bachelor's/Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • 0-2 years of experience in data science, machine learning, data analysis and modelling or a relevant field.
  • Proven track record of conducting research and publishing papers in reputable conferences or journals.
  • Strong problem-solving skills with an emphasis on product development.
  • Proficient in programming skills (Python, R, SQL, etc.) for data acquisition, processing, and analysis from large data sets.
  • Knowledge of data science concepts (regression, classification, clustering, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
  • Have the understanding on design and implement statistical models.
  • Knowledge of a variety of machine learning techniques (Random forest, SVM, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
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Jenis kontrak
Full Time
Tanggal posting
30 Juni, 2024