Applied Materials AGS Business Intelligence Management (BIM) Department is searching for a experienced Data Scientist to join our growing team. AGS BIM team provides business intelligence and analytics solutions to field service, supply chain, sales, marketing, finance and other organization in Applied Global Service business unit. It provides descriptive, predictive and strategic analytics solutions for various use cases.
The position will entail the following:
- Participates in the design, development and maintenance of ongoing metrics, reports, analyses, dashboards, etc. which help driving key business decisions.
- Works within controls to ensure the accuracy, timeliness and confidentiality of all managerial and business intelligence reports, views, dashboards, and user data. Implements new business analytics within the established framework, policies and procedures. Trains and supports end executives, users on accessing reports and dashboards.
- Apply data modeling, data science skill to implement various use case
- Must be expert in visualization, storytelling, A/B testing
- Work and understand various business processes, systems and data sources
- Analyzes and interprets data, create what if simulator, regression model or other Stastical models
- Strong knowledge in ARIMAX and other modeling techniques
- Works with others in the development of data warehouses and other data sources to support managerial and business intelligence reporting needs.
- Skills
- SQL, R, Python, Java
- Hadoop, SQL Server DB, Spark
- Advance Excel, PowerPoint, Tableau
- Database and Data Warehouse Basics
- Data Science Techniques and modeling
- Statistics, SPC
Requirements
- 10 - 15 years of experience
- Semi Industry experience in plus
- Candidate must be graduated with a Bachelor or Masters degree program in Computer Science, Data Science or any other engineering faculty with above skills
- Show leadership and eager to learn
- Presentation and communication skill is must
Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities