Chattanooga, TN17 days ago
Ultimately responsible for developing data analytics and visualization products that provide insights across the agency to client external risks and opportunities with stakeholders, including LPC’s, Industrial Customers, Local, State, and Federal Officials, Community Involvement, and Economic Development current and potential customersJob Responsibilities:Lead efforts for identifying business insights through data structure, data mining, predictive models, and implementing innovative techniques for analysis and gathering business intelligenceIn addition to enabling and informing key decision-making, the data and models produced will be used in all manners of financial planning, business cases, economic development lead generation, customer and stakeholder analysis, reporting to regulators, and performing studies to optimize interactions in community involvement, and local and federal policyResearch and implement cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient, selecting features, building and optimizing classifiers using machine learning techniquesStrong ability to communicate complex data and modeling in a simple, actionable wayAbility to visualize data in the most effective way possible for a given project or studyDetermine requirements that will be used to train and evolve deep learning models and algorithmsData mining using state-of-the-art methods to identify trends and patterns and generate insights that will optimize operational decisions and inform executive decision makingExtending company's data with third party sources of information when neededEnhancing data collection procedures to include information that is relevant for building analytic systemsProcessing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear manner using data visualization toolsCreating automated anomaly detection systems and constant tracking of its performanceDesign, test and produce key data reporting to generate insights and drive operational decision makingExperiment to identify hidden relationships between variables in large data setsLeverage both structured and unstructured data sources from across the agencyUse big data analysis tools and techniquesPlay a key role in training, coaching, and upskilling current management & specialist team members, and advising management on how to maximize data science capabilities for optimal decision-making **Only those lawfully authorized to work in the designated country associated with the position will be considered.** Required Education: Degree in mathematics, statistics, computer science, economics, engineering, operations research, decision science, or a related quantitative field, plus professional experience performing analytics, including statistical analysis, mathematical modeling, and computer programming.