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Information Technology and Communications 🏢 Full Time ⭐️ Terverifikasi

Senior Data Scientist (Analytics) - Grab Financial Services

Private Advertiser
Jakarta Raya
Estimasi Gaji
Rp 15.000.000 – Rp 30.000.000
Live Update
10 Juni 2026
Batas Akhir
10 Jun 2027

Deskripsi Pekerjaan

Join the GrabFin Analytics team as a Senior Data Scientist and drive innovation in Southeast Asia's leading fintech ecosystem. You'll support Grab's financial products across Payments, Lending, Insurance, and Kios by transforming complex data into actionable business insights. This senior role empowers you to solve high-impact challenges using advanced analytics, predictive modeling, and machine learning while collaborating with cross-functional teams to shape Grab's financial services strategy. Your work will directly influence product development, risk assessment, and customer experience for millions of users in a dynamic, fast-paced environment.

Tanggung Jawab

  • Develop and implement advanced analytics solutions for Grab's financial products (Payments, Lending, Insurance, Kios)
  • Lead end-to-end data science projects from problem definition to deployment
  • Create predictive models for risk assessment, customer segmentation, and product optimization
  • Translate business requirements into data-driven solutions using statistical techniques
  • Collaborate with engineering teams to integrate models into production systems
  • Present findings to stakeholders through compelling visualizations and reports
  • Mentor junior data scientists and foster best practices in analytics

Kualifikasi

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (Master's/PhD preferred)
  • 5+ years of experience in data science/analytics with fintech or e-commerce background
  • Expertise in Python, R, SQL, and data visualization tools (Tableau/Power BI)
  • Strong knowledge of machine learning algorithms and statistical modeling techniques
  • Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS/Azure)
  • Proven ability to translate business problems into data science solutions
  • Excellent communication skills for presenting complex insights to non-technical stakeholders

Keahlian yang Dibutuhkan

Data Science Analytics Python SQL Machine Learning Statistics Fintech Big Data Data Visualization Predictive Modeling Risk Assessment AWS Spark

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