Senior Data Scientist

Data Analysis & Anomaly Detection : Perform exploratory data analysis (EDA) on semiconductor manufacturing data, including wafer fabrication, yield, and defect rates. Identify anomalies and outliers in semiconductor production data, suggesting corrective actions to improve yield. Model Development & Feature Engineering : Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and improve product quality. Extract relevant features from raw data, considering factors like material properties, process parameters, and environmental conditions. Visualization : Create clear and informative visualizations to communicate findings and insights to stakeholders. IoT : Work with enablement sensor data collection from edge devices as well as management of data pipelines. Collaboration : Work closely with engineers, physicists, and domain experts to understand semiconductor processes and translate business requirements into data-driven solutions Continuous Improvement : Stay up to date with industry trends, research advancements, and emerging technologies in data science and semiconductor manufacturing. Master's or Ph.D. with a thesis in Engineering, Computer Science, Data Science or related field. Practical experience with Virtual Metrology, AI, process control, yield improvement, quality control, semiconductor process engineering, image analytics, or related semiconductor field focus. 3 plus years in semiconductor manufacturing or artificial intelligence. Proficient in Python, with strong knowledge of machine learning algorithms and statistical techniques. Familiarity with web applications and reporting. Experience with SQL and database management. Project experience in AGILE, Waterfall, Scrum, Software Development Lifecycle, JIRA, Change management, Release management, and Configuration management. Ability to conduct and / or attend meetings when needed in the evening. Prior experience in semiconductor manufacturing, yield optimization, or process control is highly desirable. 5 plus years in semiconductor manufacturing or artificial intelligence IoT Device Domain : Strong understanding of Operating systems (preferably Linux) Networking / Communication protocols (eg - websockets). Experience with python libraries and javascript is recommended. Hands-on experience with Linux OS, RPi, Odroids (Embedded systems). Understanding of different communication protocols used for communicating between the sensors, drivers for embedded systems and choosing the sensors accordingly. Experience with frameworks and libraries such as OpenCV, Thingworx, Ansible, and basic DBMS (SQL). Ability to preprocess, clean large, noisy data generated from sensors.