Data Science Specialist
Required Travel :Minimal Managerial - No Location: :Israel- RAANANA (Amdocs Site) ## Who are we? Amdocs helps the world's leading communications and media companies deliver exceptional customer experiences through reliable, efficient, and secure operations at scale. We provide software products and services that embed intelligence into how work runs across business, IT, and network domains, delivering measurable outcomes in customer experience, network performance, cloud modernization, and revenue growth. With our talented people and more than forty years of experience running mission-critical systems around the globe, Amdocs runs billions of transactions daily. Our technology is relied on every day, connecting people worldwide and advancing a more inclusive, connected world. Amdocs is listed on the NASDAQ Global Select Market (NASDAQ: DOX) and reported revenue of $4.53 billion in fiscal 2025. For more information, visit: www.amdocs.com. At Amdocs, our mission is to empower our employees to 'Live Amazing, Do Amazing' every day. We believe in creating a workplace where you not only excel professionally but also thrive personally. Through our culture of making a real impact, fostering growth, embracing flexibility, and building connections, we enable them to livemeaningful lives while making a difference in the world. ## In one sentence Cognitive Core Insights (CCI) is the group within Amdocs Cognitive Core responsible for delivering actionable AI-driven insights and recommendations on the aOS platform - Amdocs's open, telco-specific agentic AI platform. Our work sits at the intersection of applied data science, LLM and agentic systems, and production-grade cloud infrastructure, powering real-time customer intelligence for leading global telcos. This is a high-impact team with clear ownership: we build the models, evaluation frameworks, and pipelines that surface actionable insights to agents and end-users at scale. For more information, visit: https://www.amdocs.com/products-services/aos/cognitive-core. We are looking for a highly-motivated data scientist with deep applied GenAI experience. You will frame modeling problems, design and evaluate ML and LLM-based solutions, and take them from idea through production - owning quality end-to-end. This is an applied role, not a research role: you will spend most of your time shipping and improving solutions that run in customer environments. You will work alongside data scientists, ML and software engineers, architects, product managers, and domain experts to turn ambiguous telco problems into measurable customer outcomes. ## What will your job look like? * Frame the problem. Translate ambiguous business questions from telco customers into well-scoped modeling problems with clear success metrics, baselines, and evaluation criteria. * Design and ship models. Build and productionize ML and LLM-based solutions for customer-insight use cases, including transcript and interaction analytics, customer profiling, intent and root-cause classification, and next-best-action recommendations. * Own evaluation rigor. Design and maintain evaluation frameworks for LLM and ML outputs - offline and online, including LLM-as-a-judge, ground-truth labeling strategies, drift detection, and failure-mode analysis. * Build GenAI systems end-to-end. Develop RAG pipelines, prompt strategies, output structuring, and agentic workflows; choose pragmatically between prompting, fine-tuning, and classical ML based on the problem. * Productionize with the team. Partner with platform engineers on deployment, monitoring, and iteration; write code that is reviewable, testable, and operable. * Influence beyond your code. Contribute to technical design reviews, share knowledge with peer data scientists, and help set internal best practices for GenAI and applied ML. * Engage customers and stakeholders. Communicate results, trade-offs, and uncertainty clearly to product managers, architects, and telco-customer stakeholders. ## All you need is... Must Have * 5+ years of hands-on experience as a data scientist or applied ML scientist, with a track record of shipping models to production. * Degree in a quantitative field (Computer Science, Mathematics, Physics, Statistics, or equivalent). * Strong Python and modern data-science tooling (pandas, scikit-learn, PyTorch or TensorFlow). * Deep applied GenAI experience: hands-on with prompt engineering, RAG, output evaluation, and at least one agentic framework (LangChain, LangGraph, or equivalent). * Rigorous approach to evaluation: you've built frameworks to measure output quality, catch failure modes, and make principled trade-offs (accuracy vs. latency vs. cost). * NLP fundamentals: transformers, embeddings, classification and extraction tasks on unstructured text. * Engineering ecosystem: Git, Docker, basic CI/CD, and comfort operating in a cloud environment. * Strong communication in English (verbal and written); able to present to technical and business au