Birmingham, AL11 days ago
Key ResponsibilitiesDesign, build, test, and deploy machine learning and predictive analytics models using large-scale structured and unstructured datasets Develop forecasting and predictive modeling solutions supporting sales, marketing, and operational business initiatives Partner directly with business stakeholders to translate ambiguous business requests into actionable data solutions Perform exploratory data analysis, feature engineering, model selection, validation, tuning, and performance optimization Work with existing enterprise-scale cloud and big data environments to support scalable analytics initiatives Help increase team throughput by accelerating project delivery and supporting a growing backlog of analytics requests Collaborate with cross-functional teams including analytics, engineering, and business leadership Communicate analytical findings and model outcomes clearly to both technical and non-technical stakeholders Contribute to ongoing improvements in predictive analytics processes, scalability, and operational efficiency . Experience building machine learning and predictive models from the ground up Experience working with large-scale datasets and distributed data processing environments Strong understanding of statistical analysis, forecasting, predictive modeling, and machine learning methodologies Experience operating within cloud-based analytics ecosystems (AWS, Azure, or GCP) Proven ability to work independently with minimal direction Strong analytical thinking and problem-solving skills Ability to translate business problems into scalable technical solutions .