Data Scientist

Data Scientist

Applied Materials Santa Clara, CA

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

Salary: $119,500.00 - $164,500.00 Location: Santa Clara,CA You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Be a part of internal consulting team with high visibility to Applied Global Services executive leadership. Lead strategic projects to streamline business processes, improve supply chain and operations, reduce costs, and improve business performance. Have responsibility for complete project life cycle starting with analysis of the as-is process, identification and quantification of the opportunities, development of improvement streams, securing buy-in from stakeholders, and driving implementation. High impact role that requires relentless change management motivation rewarded with material impact to business unit performance. Opportunity to impact a $6B business with thousands of field engineers, complex global logistics network, and a wide range of products and services.

Structure and break down complex business problems, develop hypothesis, drive analysis and deliver recommendations in a data-driven manner

Lead thoughtful and rigorous analysis across large data sets and synthesize insights and opportunities

Work collaboratively across a cross-functional set of stakeholders to gather the right information, pressure test your hypothesis, co-create deliverables, accelerate execution and unlock value

Optimize operations and business processes to improve performance, reduce cycle time, and shrink costs

Collect data from multiple sources, filter anomalies, and clean unstructured data to ensure accuracy

Use statistical data analysis and tools to identify, analyze, and interpret patterns and trends in complex data sets and build diagnosis and prediction models

Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for accuracy and efficacy

Create effective Power BI based mockups, prototype, reports, and applications utilizing best practices

Communicate analytic solutions to stakeholders and implement improvements as needed to operationalize systems

Create Training Materials and administer end-user training using generative AI models and tools.

Design, develop and deploy interactive data visualizations using Power BI

Maintain data systems and assist in developing automated processes for continuous data collection.

Broad understanding and experience including logistics, financial reporting, purchasing, and service business management.

Strong analytical skills – able to extract real insight from multiple data sources

Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.

Knowledge of machine learning techniques (clustering, decision tree learning, neural networks, etc.) and their applications

Knowledge of advanced statistical techniques and concepts (regression, distributions, statistical tests, etc.) and experience with applications of these techniques.

Excellent oral and written communication, organizational, analytical, and interpersonal skills

Able to work effectively in a matrix environment and influence others

Detail oriented, able to connect the dots and communicate complex ideas effectively

Knowledge of business intelligence tools such as Power BI. Experience of creating interactive dashboard with business intelligence tools such as Power BI

Industrial Engineering, Computer Science, Data Science, Business Analytics or equivalent bachelor's degree

4 years relevant work experience, preferably in the Semiconductor industry or consulting

Full time

Assignee / Regular

Yes, 25% of the Time

Yes