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Teknologi Informasi & Komunikasi 🏢 Full Time ⭐️ Terverifikasi

Data Scientist - Alternative Credit Scoring

Sepulsa Technology Indonesia
Jakarta Selatan, Jakarta Raya
Estimasi Gaji
Rp 18.000.000 – Rp 30.000.000
Live Update
14 Juli 2026
Batas Akhir
14 Jul 2027

Deskripsi Pekerjaan

Join Sepulsa Technology Indonesia's pioneering Alternative Credit Scoring team as a Data Scientist and help revolutionize financial inclusion in Southeast Asia. We're seeking a curious, business-minded innovator to transform complex data into actionable credit insights. You'll develop cutting-edge machine learning models that empower underserved communities to access financial services while minimizing risk for our lending partners. This role offers the opportunity to work with massive datasets in a dynamic fintech environment, where your analytical solutions directly impact millions of lives. Collaborate with cross-functional teams to build robust credit scoring systems, continuously optimize model performance, and stay ahead of emerging industry trends. If you're passionate about using data to solve real-world challenges and drive financial accessibility, this is your chance to make a tangible impact.

Tanggung Jawab

  • Design and implement machine learning models for credit risk assessment and alternative scoring systems
  • Analyze complex datasets to identify patterns and trends that inform lending decisions
  • Develop and maintain data pipelines for continuous model training and validation
  • Collaborate with product teams to translate model outputs into actionable business strategies
  • Create comprehensive reports and visualizations to communicate findings to stakeholders
  • Ensure compliance with regulatory requirements in financial data processing
  • Stay updated with industry advancements in credit scoring and data science techniques

Kualifikasi

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (Master's preferred)
  • 3+ years of experience in data science or machine learning roles
  • Proficiency in Python, R, and SQL with experience in data manipulation libraries
  • Strong knowledge of statistical modeling and experimental design
  • Experience with credit scoring algorithms and financial data analysis
  • Familiarity with big data technologies (Spark, Hadoop) and cloud platforms (AWS/GCP)
  • Excellent problem-solving skills with ability to communicate complex concepts to non-technical audiences

Keahlian yang Dibutuhkan

Data Science Machine Learning Python R SQL Credit Scoring Statistical Analysis Big Data AWS Financial Modeling

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