Data Scientist

Qualifications: - Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. - 2+ years of practical experience as a Data Scientist with hands-on experience delivering ML models into production. - Strong knowledge of machine learning, statistical modeling, and practical experience with NLP, LLMs, computer vision, clustering, and tree-based algorithms. - Proficient in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch) and strong SQL, with experience using ML and data engineering tools such as Spark, Airflow, and MLflow. - Experience building scalable data pipelines, feature engineering, data transformation, and ensuring data quality for analytical and production use. - Excellent programming skills with clean, modular code and software engineering best practices (Git, unit testing, code reviews, and CI/CD). - Strong problem-solving skills with a data-driven mindset and the ability to translate business needs into AI/ML solutions. - Excellent written and verbal communication skills, with the ability to present complex technical concepts to both technical and business stakeholders. - Self-starter with the ability to work independently and collaborate effectively across Product, Engineering, Risk, and Compliance teams. - Proficient in English and Bahasa Indonesia. - Experience in fintech, payments, digital banking, or merchant risk, KYC/KYB, AML, or fraud detection. - Familiarity with MLOps, cloud platforms, API development, and containerization. - Experience with graph analytics, multilingual NLP/LLMs, and Indonesian regulatory requirements (UU PDP, BI/OJK). - Passion for leveraging AI and automation to solve complex business problems.