Data Scientist

Job description

Job Summary Seeking a highly analytical and innovative Data Scientist to support AI-driven mapping operations, intelligent forecasting systems, and conversational AI initiatives. This role combines advanced data science, machine learning, and large-scale analytics with deep exposure to the Google technology ecosystem. The ideal candidate will work closely with cross-functional teams including AI/ML engineers, product managers, operations teams, and mapping specialists to build scalable forecasting models, deploy AI-powered chatbots, and optimize mapping workflows using modern Google Cloud and AI technologies. Key Responsibilities Forecasting & Predictive Analytics • Design, develop, and deploy forecasting models for operational planning, demand prediction, geospatial trends, and resource optimization. • Build scalable time-series forecasting pipelines using machine learning and statistical techniques. • Analyze large-scale structured and unstructured datasets to generate actionable business insights. • Improve forecasting accuracy using advanced ML algorithms, feature engineering, and experimentation frameworks. AI & Conversational Systems • Develop and optimize AI-powered chatbot solutions for operational support, customer interactions, and workflow automation. • Implement NLP and Generative AI solutions using Large Language Models (LLMs). • Fine-tune conversational models and evaluate chatbot performance using operational metrics and user feedback. • Collaborate with engineering teams to integrate AI assistants into mapping and operational platforms. Mapping Operations & Geospatial Intelligence • Apply AI/ML techniques to improve mapping operations, geospatial data quality, routing intelligence, and automation workflows. • Work with geospatial datasets, location intelligence, and large-scale map data processing pipelines. • Support automation initiatives across mapping operations using machine learning and AI-driven decision systems. • Partner with operations teams to identify optimization opportunities in map validation and spatial analytics. Key Skills & Qualification Technical Skills • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field. • 4+ years of experience in data science, machine learning, or AI-driven analytics roles. Qualifications • Strong expertise in Python, SQL, and machine learning frameworks. • Experience building forecasting or predictive analytics models in production environments. • Hands-on experience with NLP, chatbot development, or Generative AI systems. • Strong knowledge of cloud-native architectures and distributed data processing. • Experience with geospatial analytics, mapping platforms, or location intelligence is highly preferred. • Proficiency with Google Cloud technologies and modern AI/ML tooling.