Strategic Data Scientist: Analytics & Ops Impact

Applied Materials; Santa Clara (CA); On-site; USD 119,500 - 164,500; Full time

Benefits offered by this job

Stock award program

Bonus program

Relocation assistance

Job summary

Applied Materials in Santa Clara, CA is seeking a data analytics consultant to lead strategic projects improving supply chain, operations, and business performance using data-driven insights.

You will own end-to-end analytics from data extraction to implementation, working with senior leaders to drive measurable impact across a $6B business and a global logistics network while leveraging Power BI and advanced modeling techniques.

Qualifications

• Experience deriving real insight from multiple data sources.
• Strong analytical skills to drive data-informed decisions.
• Proficiency with Python/SQL for data manipulation and modeling.
• Knowledge of machine learning techniques and their business applications.

Responsibilities

• Structure and break down complex business problems; develop hypotheses and deliver data-driven recommendations.
• Lead rigorous analyses across large data sets and synthesize insights.
• Collaborate with cross-functional stakeholders to gather information and validate hypotheses.
• Improve operations and processes to reduce cycle time and costs.
• Create Power BI dashboards, reports, and applications to operationalize analytics.

Skills

Data analytics

Power BI

Python

SQL

Machine learning

Statistics

Communication

Education

Industrial Engineering, Computer Science, Data Science, Business Analytics or equivalent

Tools

Power BI

Python

SQL

Job description

Applied Materials in Santa Clara, CA is seeking a data analytics consultant to lead strategic projects improving supply chain, operations, and business performance using data-driven insights.

You will own end-to-end analytics from data extraction to implementation, working with senior leaders to drive measurable impact across a $6B business and a global logistics network while leveraging Power BI and advanced modeling techniques.