Data Scientist

About the Opportunity Our client is a leading semiconductor technology company seeking a motivated and analytical Data Scientist to support manufacturing, product engineering, quality, and yield improvement initiatives. This role offers an excellent opportunity for recent graduates and early-career professionals to apply advanced analytics, machine learning, and artificial intelligence techniques to solve real-world semiconductor manufacturing challenges. The successful candidate will work closely with cross‑functional engineering teams to transform large‑scale manufacturing data into actionable business and engineering insights. Key Responsibilities • Perform advanced data analysis on manufacturing, testing, and production datasets to identify performance gaps, process variations, and yield‑impacting factors. • Develop predictive analytics and machine learning solutions to enhance manufacturing efficiency, product quality, and operational reliability. • Translate complex engineering and manufacturing data into meaningful insights and recommendations for business and technical stakeholders. • Design, build, and maintain automated reporting systems, dashboards, and performance monitoring tools to support data‑driven decision‑making. • Partner with engineering, quality, and operations teams to investigate production issues and implement process improvement initiatives. • Conduct statistical modelling, correlation studies, and root cause analysis to support quality enhancement and defect reduction efforts. • Explore and implement AI‑driven technologies to improve productivity, manufacturing intelligence, and operational performance. • Optimize data workflows and analytics processes by leveraging cloud technologies and scalable computing resources. • Present findings and recommendations to stakeholders through clear visualizations, reports, and presentations. • Stay current with emerging trends in data science, artificial intelligence, and semiconductor manufacturing technologies. Requirements • Bachelor's degree in data science, Statistics, Computer Science, Electrical Engineering, Applied Mathematics, or a related discipline. • Demonstrated knowledge of statistical modelling, predictive analytics, machine learning, and data mining methodologies. • Hands‑on experience with Python or R for data processing, analysis, and model development. • Familiarity with database querying and management using SQL in large‑scale data environments. • Ability to work with complex datasets and transform data into actionable business or engineering insights. • Strong analytical thinking, problem‑solving ability, and attention to detail. • Excellent communication and stakeholder management skills with the ability to explain technical concepts to diverse audiences. • Self‑motivated team player with a passion for innovation, continuous learning, and technology‑driven problem solving. Preferred Qualifications • Exposure to semiconductor manufacturing, electronics production, or industrial engineering environments. • Experience using data visualization platforms such as Tableau, Power BI, Looker, or similar tools. • Understanding of Artificial Intelligence (AI), Generative AI, and Large Language Model (LLM) applications. • Familiarity with cloud‑based analytics platforms such as AWS, Azure, or Google Cloud Platform. • Internship, research, or project experience involving manufacturing analytics, process optimization, or industrial data science. #J-18808-Ljbffr