We are seeking a seasoned Data Scientist to join a high-impact team responsible for developing advanced analytics solutions and deploying machine learning models to optimize operations and inform strategic decision-making. This role combines hands-on data infrastructure work with AI/ML model development and cross-functional collaboration. You will serve as a technical lead in shaping the organization's data strategy, maintaining and improving data systems, and delivering innovative solutions that solve complex business problems. Key Responsibilities Analytics & Modeling • Build, optimize, and deploy machine learning models and algorithms for predictive analytics and decision support • Deliver actionable insights using statistical modeling, data mining, and AI • Monitor model performance and continuously refine based on new data and feedback Infrastructure & Systems • Maintain, upgrade, and optimize data pipelines and storage systems to ensure data accuracy, security, and scalability • Support networks and servers tied to data infrastructure across departments • Implement best practices in data security, governance, and compliance Collaboration & Strategy • Partner with cross-functional teams (e.g., Operations, Finance, Marketing) to understand needs and deliver tailored solutions • Research and apply new data science techniques to improve efficiency and innovation • Mentor junior analysts and serve as a subject matter expert on data-related initiatives Documentation & Support • Maintain clear, comprehensive technical documentation of models, systems, and projects • Provide advanced support for mission-critical business functions • Develop contingency and recovery plans for data infrastructure Requirements Minimum Qualifications • Bachelor's degree in Data Science, Computer Science, Mathematics, or related field • 5+ years of experience in data science, data engineering, or analytics • Proficient in Python, SQL, R, and machine learning libraries (e.g., Scikit-learn, TensorFlow) • Strong understanding of data infrastructure, security, and cloud platforms Preferred Qualifications • Master's or PhD in Data Science, Machine Learning, or related discipline • Experience with Databricks, Azure Data Services, and AWS ML tools (e.g., SageMaker) • Background in GIS or ESRI-based spatial analytics • Certifications such as AWS Certified Data Analytics, Azure Data Scientist Associate, or Databricks ML Practitioner • Prior experience leading projects or mentoring team members Key Skills & Competencies • Advanced statistical modeling and AI/ML development • Big data tools (e.g., Hadoop, Spark) and cloud integration (Azure, AWS, GCP) • Effective communicator across technical and non-technical audiences • Self-motivated and adaptable to changing priorities • Strong project and time management skills