Data Scientist (AMI)

Description

Summary: Leads advanced analytics, machine learning, and predictive modeling initiatives using AMI data to support strategic decision-making and system optimization. Highlights: 1. Lead advanced analytics and machine learning initiatives with AMI data 2. Design and deploy predictive and prescriptive analytics models 3. Apply advanced statistical, machine learning, and AI techniques **Data Scientist (AMI)** JOB PURPOSE The role holder is responsible for leading advanced analytics, machine learning, and predictive modeling initiatives using AMI data. The role supports strategic and operational decision\-making, system optimization, and performance enhancement within the utility environment. CORE RESPONSIBILITIES * Designs, develops, and deploys predictive and prescriptive analytics models leveraging AMI data. * Builds algorithms to identify consumption patterns, anomalies, losses, and system inefficiencies. * Applies advanced statistical, machine learning, and AI techniques to support AMI performance teams. * Proactively identifies data integrity, performance, and system risks and recommends preventive actions. * Translates complex analytical results into actionable business and operational insights. * Supports deployment of models into production environments and ML Ops workflows. * Mentors analysts and engineers on advanced analytics methodologies. * Ensures best practices in data governance, model validation, and ethical AI usage. * Supports strategic initiatives related to smart grids and digital transformation. * Performs other duties as assigned by senior management. EDUCATION, EXPERIENCE \& SKILLS Qualifications / Certifications PhD in Data Science, AI, Computer Science, or related field; or Master’s degree with strong research background. Certified in advanced data science, machine learning, or artificial intelligence , with demonstrated research or professional experience in predictive/prescriptive analytics and ML model deployment (MLOps). Experience Minimum 13\+ years of professional experience in data science or advanced analytics, preferably in utilities or energy sector. Key Skills * Advanced machine learning, statistical modeling, and data architecture skills. * Strong programming proficiency (Python, Java). * Proven experience delivering end\-to\-end analytics solutions in production environments. * Written and Spoken English is essential; Arabic is preferred. WORKING CONDITIONS Strategic analytical role with collaboration across senior technical and business teams. Work Location: In person