Lead Data Scientist

Are you passionate about building cutting-edge Machine Learning (ML) solutions that enhance the PlayStation experience for millions of users This role is part of the Machine Learning team , committed to delivering impactful insights and personalized experiences across PlayStation platforms. As a Lead Data Scientist , you will design, develop, and deploy large-scale ML models and data pipelines , collaborating with cross-functional teams in an agile environment. You will work with state-of-the-art ML technologies , lead multiple projects, and drive AI/ML innovation across the organization. Technology Stack Core ML & Data Science Expertise: Machine Learning, Deep Learning, Artificial Intelligence, Data Analytics NLP, Linear Regression, Classification & Clustering, Transfer Learning Forecasting Models, Large Language Models (LLMs) Tools & Frameworks: ML Frameworks: TensorFlow, PyTorch, MLlib, DataBricks Programming & Data Tools: Python, SQL, Spark MLOps & Deployment: Kubernetes, Jenkins, Prometheus Qualifications & Experience Master's degree in Computer Science, Statistics, Data Science , or a related field with a specialization in Machine Learning (or equivalent experience). 5+ years of hands-on experience in Data Science & ML model development . Proven experience in building and deploying production-level large-scale ML models & data pipelines . Strong background in Python, Scala, or Java . Industry experience in ML-based solutions , including: Online safety, Conversational AI (voice-activated systems), Recommender systems, Search engines, Personalization, Time-series forecasting, A/B testing. Expertise in machine learning, statistics, and analytical methods . Key Responsibilities End-to-End ML Model Development & Deployment: Design, develop, and deploy machine learning and deep learning models for high-impact consumer applications (predictive safety, content personalization, search, virtual assistant, time-series forecasting, etc.). Work with large-scale structured and unstructured data using modern big data & streaming technologies . Optimize ML models for scalability, efficiency, and accuracy . Produce reusable, production-grade code in Python, Scala, or Java . Implement A/B testing & evaluation metrics to measure model performance. Leadership & Collaboration: Lead a team of ML engineers & data scientists , ensuring the successful execution of AI/ML projects. Translate business requirements into scalable ML solutions . Conduct feasibility studies and proof of concepts (PoCs) for AI-driven applications. Share expertise by mentoring & upskilling team members through knowledge-sharing sessions . Collaborate with cross-functional teams (Product, Engineering, Business) to define and execute the ML roadmap . Innovation & Strategy: Stay updated with the latest AI/ML research and integrate emerging technologies into PlayStation's ML ecosystem. Influence software development best practices and industry trends . Drive AI/ML capability-building initiatives within the organization.