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We are seeking a seasoned data science leader to spearhead advanced analytics initiatives and deliver actionable insights for strategic business decisions. This role combines technical expertise with stakeholder engagement to shape data-driven solutions in the payments industry.

Client Details

Our client is a global leader in digital payments, enabling secure transactions across millions of merchants and consumers worldwide. They are committed to innovation, leveraging data science to enhance customer experience and operational efficiency.

Description

  • Lead, execute, and deliver data science engagements for clients in Indonesia.
  • Define scope, methodology, and design solutions leveraging advanced analytics tools.
  • Build strong relationships with client teams to ensure successful implementation and measurable impact.
  • Maintain quality standards and documentation for all data science projects.
  • Create data model based on requirement
  • Innovate using proprietary, client, and external data sources to develop cutting-edge solutions.
  • Mentor and guide data scientists, promoting best practices and thought leadership.

Profile

  • Education: Bachelor in Statistics, Mathematics, Computer Science, Economics, or related field.
  • Experience: Minimum 10 years in banking, payments, or related industry.
  • Technical Skills: Proficiency in SAS, R, Python, SQL, Hadoop ecosystem; strong knowledge of statistical techniques (e.g., Neural Networks, Gradient Boosting, Decision Trees).
  • Leadership: Proven ability to manage multiple analytics projects and cross-functional stakeholders.
  • Communication: Excellent presentation, storytelling, and stakeholder management skills.
  • Domain Knowledge: Familiarity with local market regulations and cultural nuances.

Job Offer

  • Competitive compensation and benefits package.
  • Opportunity to lead high-impact projects in a global organization.
  • Professional growth through innovation and collaboration with industry leaders.
  • Hybrid working arrangements

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Hashegi Hanjaya on