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Quantitative Researcher

2 weeks ago

Jakarta, Jakarta, Indonesia AwanTunai Full time

**Our Team**

We're a world-class team building a cutting-edge fintech company in Indonesia. We're passionate about innovation and committed to excellence.

**Job Description**

We're looking for a Data Scientist who will analyze complex data using statistical methods, machine learning, and domain expertise to extract insights, make predictions, and drive data-driven decisions.

**Responsibilities**

  • Conduct data exploration and discovery, and advanced data mining analysis on spatial-temporal data, user behavioral data, transaction data, machine/device log data.
  • Conduct experiments with data, build working prototypes to demonstrate ideas and results.
  • Build scalable pipeline and data science models with open source systems or proprietary tools.
  • Collaborate with business teams to contribute to new use cases for solving clients' problems.
  • Participate in IP creation, such as patenting, case studies, white papers, and research papers as determined by business needs.

**Requirements**

  • 3+ years experience of successful application of machine learning, data mining, and statistical analysis with demonstrable impact and proven track records.
  • Demonstrated ability to take high level, loosely-defined business problems and identify precise, quantitative solutions.
  • Working knowledge of databases and query engines for structured and unstructured data, data transformation (ETL), software development methodologies, and data science languages like Python, R, or others.
  • Self-starter, capable of experimenting with various tools and developing own code and scripts for data manipulation, experimentation, algorithm implementation, accuracy measurements, etc.
  • Familiar with basic software development skills (agile methodologies, testing, version control, etc.).
  • Preferred to have an advanced degree in Computer Science, Machine Learning, Operational Research, Mathematics or Statistics, or other equivalent subjects.
  • Preferred to be familiar with basic software development skills (agile methodologies, testing, version control, etc.).