Sr. Data Scientist - IoT and Manufacturing

Location: Plano, Texas Position Overview:We are seeking a highly skilled Sr. Data Scientist with expertise in Robotics/Machinery, particularly in the automotive sector. The ideal candidate will have a strong background in machine learning and deep learning techniques, with a focus on sensor data. They will be responsible for working along a team of data scientists and collaborating with cross-functional teams to develop and deploy scalable ML solutions that assures high accuracy and is backed by best MLOps practices. Key Responsibilities:- Development and implementation of ML solutions for automotive use cases in the Manufacturing domain.- Collaborate with stakeholders to understand business requirements and translate them into technical specifications for ML models.- Research and experiment with state-of-the-art machine learning algorithms and techniques to improve model performance and accuracy.- Design and implement scalable ML pipelines for data preprocessing, model training, and deployment in production environments.- Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) to develop and optimize neural network architectures for Predictive Maintenance use cases.- Evaluate the performance of ML models using appropriate metrics and iterate on solutions to achieve desired outcomes.- Work closely with Cloud Ops to integrate ML models into existing systems and ensure smooth deployment at scale.- Experience deploying ML models in production environments using containerization technologies (e.g., Docker, Kubernetes) is a plus.- Hands on experience on solving various ML solutions related to Sensor data such as anomaly detection, health index, remaining useful life, etc.- Solid understanding of cloud platforms such as AWS, and experience leveraging cloud services for data storage, big data computation (Spark), and deployment. Qualifications:- Master's degree in Computer Science, Engineering, Mathematics, or related field; advanced degree preferred.- 5+ years of experience in data science, with a focus on sensor data and machine learning.- Proven track record of successfully completing projects involving IoT applications, particularly in the manufacturing industry.- Strong programming skills in Python and proficiency in popular ML libraries (e.g., scikit-learn, Keras).- Experience working with deep learning frameworks such as TensorFlow or PyTorch.- Solid understanding of time series techniques and familiarity with relevant libraries.- Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.- Excellent problem-solving skills and a passion for driving innovation through data-driven decision-making.