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Job Description

  • Analyze large amounts of data, design and build various Machine Learning/Deep Learning solutions to improve the business performance of the whole Lippo Group ecosystem utilizing Pyspark, Scala, R, SQL and Hadoop technology stack (Apache Spark, Hive, Druid, Airflow, etc)
  • Collaborate with Data Engineers, Data Architects to operationalize/productionize the models
  • Meet the business partners (Lippo subsidiaries) to solve real world business problems using data and propose solutions for effective decision making

Requirements

  • Strong quantitative, analytical, and problem-solving skills
  • Experience in Data Analytics, Data Science area (especially utilizing Big Data Technology) min. 5 years
  • Solid understanding of Statistics/Machine Learning fundamentals and demonstrated experience in Python (Pyspark), Scala, and/or R
  • Experience in querying SQL databases, e.g. PostgreSQL, MySQL
  • Familiar with Big Data platform (Hadoop) and some Big Data stacks, such as Hive, Spark, Druid, Airflow
  • Experience in deploying Machine Learning models, .e.g. using FastAPI, Flask, Git, Airflow, etc.
  • Experience in retail and/or banking industry is a plus
  • Expreience in Machine Learning Operation Framework, such as MLFlow is a plus
  • A team player, willing to share ideas and collaborate together
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About MPC (PT Multipolar Tbk)
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MPC’s ambition is to be the leading multi-stage investment firm with the dream to empower businesses of tomorrow. Through our experience in building, scaling, and investing in high-growth companies, we aim to provide strategic support and guidance to exciting ventures to deliver deep and long-lasting impact that define the future of industries. MPC (PT. Multipolar Tbk) is listed in Indonesian Stock Exchange (IDX: MLPL)

Industry
Investment Banking
Location
Tangerang, Indonesia
Company Size
50–100 employees