Associate Engineer- Data Science

As a Data Scientist at Eaton Corporation's Center for Intelligent Power, you will play a crucial role in designing and developing ML/AI algorithms to address power management challenges. Your responsibilities will include: - Developing ML/AI algorithms and ensuring their successful integration in edge or cloud systems using CI/CD and software release processes. - Demonstrating exceptional impact in delivering projects, from architecture to technical deliverables, throughout the project lifecycle. - Collaborating with experts in deep learning, machine learning, distributed systems, program management, and product teams to design, develop, and deliver end-to-end pipelines and solutions. - Implementing architectures for projects and products, working closely with data engineering and data science teams. - Participating in the architecture, design, and development of new intelligent power technology products and production-quality end-to-end systems. Qualifications for this role include: - Bachelors degree in Data Science, Electrical Engineering, Computer Science, or Electronics Engineering. - 0-1+ years of practical data science experience, with a focus on statistics, machine learning, and analytic approaches. Required Skills: - Strong Statistical background including Bayesian networks, hypothesis testing, etc. - Hands-on experience with ML/DL models such as time series modeling, anomaly detection, root cause analysis, diagnostics, prognostics, pattern detection, and data mining. - Knowledge of data visualization tools and techniques. - Programming proficiency in Python, R, Matlab, C/C++, Java, PySpark, SparkR. - Familiarity with Azure ML Pipeline, Databricks, MLFlow, and software development life-cycle processes and tools. Desired Skills: - Knowledge of Computer Vision, Natural Language Processing, Recommendation AI Systems. - Understanding of traditional and new data analysis methods for building statistical models and identifying patterns in data. - Familiarity with open source projects like OpenCV, Gstreamer, OpenVINO, ONNX, Tensorflow, Pytorch, and Caffe. - Experience with Tensorflow, Scikit, Keras, Spark ML, Numpy, Pandas. - Advanced degree or specialization in related disciplines (e.g., machine learning). - Excellent verbal and written communication skills for effective collaboration with virtual, global teams. - Strong interpersonal, negotiation, and conflict resolution skills. - Ability to comprehend academic research and apply new data science techniques. - Experience working in both large teams with established big data platform practices and smaller teams where you can make a significant impact. - Innate curiosity and a self-directed approach to learning and skill development. - Ability to work effectively as a team player in small, fast-moving teams. This job opportunity offers a dynamic environment where you can contribute your expertise in data science to drive innovation in intelligent power technologies.,