Data Scientist

Jakarta Selatan, DKI Jakarta, Indonesia (Hybrid)

DANA

Mulai transaksi mudah dan aman dengan DANA, dompet digital terbaik untuk kebutuhan sehari-hari. Kirim uang, bayar QRIS, dan nikmati kemudahan transaksi lewat DANA. Terdaftar & diawasi oleh Bank Indonesia dan KOMINFO

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Job Description:We are seeking a highly skilled and detail-oriented Data Scientist to lead the development and maintenance of financial service data science models. The ideal candidate will work closely with business units and risk teams to drive innovation, ensure model reliability, and optimize performance. If you are passionate about leveraging data science to make an impact in the financial services domain, this role is perfect for you.

Key Responsibilities:

  1. Build, maintain, and operate advanced financial service data science models tailored to organizational needs.
  2. Collaborate with business stakeholders and risk teams to conduct product research and ensure the effective application of models.
  3. Ensure the reliability and accuracy of financial service-related models through rigorous testing and validation.
  4. Optimize the performance and efficiency of models to align with business objectives.

Requirements:

  • Strong Mathematical Skills: A deep understanding of mathematical concepts, statistical analysis, and their application in data science.
  • Strong Programming Skills: Proficiency in SQL, Python, and Spark, with a track record of implementing complex data pipelines and models.
  • Proven experience in building and managing data science models in financial services or a related field.
  • Solid understanding of risk management principles and their integration into data-driven models.
  • Excellent analytical, problem-solving, and critical-thinking skills.
  • Strong communication skills to effectively present findings and collaborate with diverse teams.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Data pipelines Pipelines Python Research Spark SQL Statistics Testing

Region: Asia/Pacific
Country: Indonesia

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