**DESCRIPTION** **Key Responsibilities:** + Investigate electronic application and systems problems, analyze causal mechanisms, recommend appropriate actions, and own problem resolution with documentation. + Apply and improve electronic application and systems development processes, including system specification, modeling, simulation, calibration, DVP&R, and troubleshooting. + Collaborate with customers, technical and product teams, manufacturing engineers, suppliers, and stakeholders to deliver recommendations leading to quality product decisions. + Make decisions in areas of system design, requirements, calibration, and testing that impact subsystem quality and performance. + Review work of less-experienced developers/testers to ensure robust, reusable, and efficient design. + Provide independent leadership for smaller projects or ownership of complex components, products, systems, or services with higher ambiguity. + Coordinate and direct work amongst technicians and student employees; mentor and transfer knowledge to junior engineers. + Deliver independent execution of established and emerging work processes while continuously developing technology or product knowledge. + Facilitate a 12-week applied data science learning experience for engineers and technical staff. + Coach participants in using tools like Databricks, Amazon Q, Palantir, and ChatGPT for agent-based automation. + Guide learners in both code-based and low/no-code workflows to increase accessibility and impact. + Support learners in using Python-based tools (e.g., Pandas, Scikit-learn) and low-code platforms (e.g., Power BI, Dataiku). + Integrate LLM use cases such as prompt-driven analytics, code generation, and auto-documentation. + Review learner projects and provide personalized feedback to strengthen data science maturity. + Maintain a supportive coaching environment and collaborate to improve curriculum and resources. **RESPONSIBILITIES** **Qualifications:** **Education, Licenses, Certifications:** + Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field. + This position may require licensing for compliance with export controls or sanctions regulations. **Core Competencies:** + Builds networks – Building strong formal and informal relationships inside and outside the organization. + Communicates effectively – Delivering clear and tailored communications to different audiences. + Decision quality – Making good and timely decisions to keep projects moving forward. + Drives results – Achieving results consistently, even under tough circumstances. + Manages complexity – Making sense of complex information to solve problems effectively. + Resourcefulness – Securing and deploying resources efficiently. + Values differences – Recognizing and leveraging diverse perspectives and cultures. **QUALIFICATIONS** **Experience:** + Prior Senior or Lead Engineer equivalent work experience in a relevant discipline with a demonstrated track record of technical problem solving and quality decision-making. + 2+ years in data science, analytics, engineering, or applied ML roles. + 1+ years teaching, mentoring, or delivering bootcamps/training programs. + Experience using LLMs like ChatGPT to enhance analytics or build internal tools. + Familiarity with MS Office tools preferred. **Knowledge, Skills & Competencies:** **Technical Competencies:** + Teaching & Mentoring technical staff. + Expertise in Data Analysis or Data Science. + Engineering or Technical Datasets; ideally an engineering background with data science skills to coach engineers effectively. + Familiarity with platforms like Databricks, Palantir, Jupyter. + Design and Application of Mechatronics Systems. + Machine Integration and Optimization. + Product Function Modeling, Simulation, and Analysis. + Product Problem Solving. + Product Verification and Validation Management. + System Requirements Engineering. + Systems Thinking. + Design and Application of Open/Closed Loop Controls. **Job** Engineering **Organization** Cummins Inc. **Role Category** Hybrid **Job Type** Exempt - Experienced **ReqID** 2416743 **Relocation Package** No