About the role
AI summarisedJoin Applied Materials, a global leader in materials engineering solutions, to drive material innovation that changes the world. As a Data Scientist, you will apply advanced analytics and data science techniques to complex datasets, providing actionable insights that influence product development and business strategy.
EquipmentOnsite
Key Responsibilities
- Design and develop program methods, processes, and systems to consolidate and analyze diverse structured and unstructured 'big data' sources.
- Perform complex statistical and data-mining analysis using tools like R, SAS, and MATLAB.
- Help business groups understand their data by applying analytics-derived insights and determining effective actions and KPIs.
- Participate in project teams developing analytical models, algorithms, and automated processes using SQL and Python/PHP to cleanse, integrate, and evaluate large datasets.
- Interact with product and service teams to identify questions for data analysis and experiments, establishing correlations beyond current measurements.
- Communicate findings from analysis and experiments to product, service, and business management for incorporation into effective business processes.
Requirements
- Proven ability to apply advanced statistical and data-mining techniques.
- Proficiency in using statistical tools such as R, SAS, and MATLAB.
- Strong understanding of data acquisition systems, data structure, and database design.
- Ability to apply SQL knowledge for data manipulation.
- Programming skills in Python or PHP.
- Conceptual and innovative thinking to solve unique and complex business problems.