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.