About the Role
- Develop and implement AI and predictive modeling solutions (e.g., B2S Funnel Modelling, OA Penetration, Customer Behavior Models) to drive future growth and improve forecast accuracy.
- Oversee MLOps practices to ensure scalable, reliable, and sustainable deployment of AI/ML models for operational improvement.
- Transform large and complex datasets into actionable business intelligence that optimizes operational costs, customer engagement, and growth opportunities.
- Drive continuous improvement of predictive analytics to enhance forecast accuracy and business planning efficiency.
- Align AI strategy with business priorities by engaging cross-functional teams to integrate predictive models into decision-making processes.
- Facilitate capability building for stakeholders to effectively adopt and utilize AI-driven insights.
Requirements
- Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or related field.
- 5+ years in data science, AI/ML, or advanced analytics,
- Proven track record in leading AI/ML projects from ideation to deployment at scale.
- Exposure to MLOps implementation, predictive modeling, and data-driven business transformation
- Advanced expertise in machine learning, deep learning, and AI frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong background in predictive analytics, natural language processing (NLP), and data engineering concepts.
- Proficiency in programming languages (Python, R, SQL) and cloud platforms (AWS, GCP, Azure)
- Familiarity with MLOps pipelines and model lifecycle management.
- Understanding of business process automation and AI-driven decision systems.
- Willing to work in: Karawaci, Tangerang.
Benefits
- Medical insurance
- Medical checkup