td>| Duties: | Responsible for the exploration, aggregation, transformation, and cleansing of vehicle data across a variety of disparate sources and platforms, ensuring data integrity and consistency at scale; design, implement, and continuously optimize advanced predictive machine learning models to drive accurate and actionable business forecasts, leveraging complex datasets; architect, develop, and maintain high-performance APIs in Python, ensuring seamless integration with diverse data ecosystems while adhering to best practices for scalability and security; support efforts to streamline and automate the data pipeline, encompassing data acquisition, feature engineering, model development, and deployment workflows, optimizing for performance, efficiency, and scalability; coordinate and execute complex ad-hoc data analysis tasks, providing rapid, data-driven insights for immediate business needs; provide mission-critical on-call support to ensure the continued operation of business production systems, troubleshooting and resolving issues with minimal impact to operations; utilize and apply knowledge of Python, SQL, Scikit-learn, XGBoost, Prophet, ARIMA, RESTful APIs, GCP, Terraform, Docker, VBA, and ODBC to complete assignments; translate complex analytical findings into clear, actionable insights; utilize cutting-edge Natural Language Processing (NLP) techniques to extract valuable insights from large volumes of unstructured text data, integrating AI-driven solutions to deliver sophisticated data analysis that directly impacts automotive operations and strategic initiatives; apply advanced statistical methodologies including Regression Analysis, Bayesian Inference, and machine learning-based forecasting techniques, to model and predict complex variables like market incentives, inventory management, sales forecasting, and operational performance; provide data-driven insights to optimize production strategies and facilitate high-level decision-making; leverage Cloud Computing platforms (primarily GCP) to architect and scale infrastructure for processing, storing, and analyzing massive automotive datasets; deploy data science solutions that integrate seamlessly with manufacturing and operational environments to drive efficiency, accuracy, and business intelligence; and present models and results to stakeholders, including business executives, to influence strategic decision-making. Education: Master’s – Data Science, Computer Science, Computer Engineering, Systems Engineering, or in a related field of study (will accept equivalent foreign degree); Training: None; Experience: One (1) year in the position above, as a Data Analyst, Data Engineer, as a Data Engineering Specialist, or in a related occupation; Other Requirements: Experience must include one (1) year use of all the following: Python, SQL, Scikit-learn, XGBoost, Prophet, ARIMA, RESTful APIs, GCP, Terraform, Docker, VBA, and ODBC.li>Robust technical training programs, in person and virtual, on diesel, gas, compressed air, electrical, controls, oil free air compressors, HVAC, microgrid & storage and more. You'll be responsible for troubleshooting, maintaining, and repairing power generators, HVAC, and industrial equipment and working closely with the Data Centers sales team. Your role will involve working across Salesforce CRM, marketing automation platforms, and analytics tools to deliver actionable insights, enable predictive decision making, and support a scalable, AI-enabled digital marketing ecosystem. As a Data & Analytics Specialist, you will support the development, execution, and optimization of marketing analytics and reporting capabilities with a strong focus on data accuracy, AI-driven insights, and performance measurement. Auburn Hills, MI10 days ago Responsible for digital tools (eSQAL, legacy systems), dashboards, analytics, and AI solutions to enable data-driven decision-making and improve supplier quality performance. Create strategy and combine legacy systems into one non conformance and APQP system by partnering with Quality, Manufacturing and Supply Chain. You will drive operational excellence & provide a robust statistical analysis on portfolio management for timely decision making ensuring zero obsolescence during PIPO process execution and supply chain readiness NPI projects in region with ensuring adherence to master data management, BOM management process. As the Product Life Cycle & Master Data Management Leader you will be responsible and accountable for product portfolio management, will oversee NPI, PIPO process with reference to supply chain interventions and manage material master. |