Applied Materials Data Scientist New College Grad- Bachelor 's Santa Clara CA 

United States, California 

641866814

KEY RESPONSIBILITIES:

• Develop a comprehensive framework using Statistical Process Control (SPC) techniques to monitor and control various metrics. Highlight when metrics fall outside the acceptable range (Lower Control Limit and Upper Control Limit), enabling early detection of potential issues in field service and sales processes. Ensure that any deviations are quickly identified and addressed, maintaining smooth operations.
• Continuously monitor field data to detect anomalies that could impact productivity. Analyze these anomalies to understand their root causes and recommend corrective actions. Improve overall productivity and increase contract margins by resolving issues before they escalate.
• Use advanced data analysis and predictive modeling techniques to identify patterns and trends in field service and sales processes. Predict potential anomalies before they occur, allowing the team to take preventive measures to maintain smooth operations. Minimize disruptions and ensure that the business runs smoothly.
• Create and refine predictive models to forecast headcount needs and optimize the QRAM (Quarterly Resource Allocation Meeting) model to better predict resource allocation. Ensure that resources are used effectively and efficiently, supporting the organization's strategic goals.
• Conduct thorough data analysis to uncover valuable insights. Use statistical methods and data visualization tools to interpret data and present findings in a clear and actionable manner. Optimize processes and improve overall efficiency, leading to better business outcomes.

TECHNICAL SKILLS:

• Programming Languages: Proficiency in Python or R for data analysis and model development.
• Data Manipulation: Strong skills in SQL for querying databases and manipulating data sets.
• Machine Learning: Familiarity with machine learning algorithms and frameworks such as TensorFlow to build predictive models.
• Statistical Analysis: Solid understanding of statistical methods and techniques to analyze data and interpret results.
• Data Visualization: Hands on experience with visualization tools like Tableau.
• Predictive Modeling: Ability to develop, validate, and deploy predictive models to forecast trends and anomalies.
• Problem-Solving: Excellent analytical and problem-solving skills to identify issues, develop solutions, and optimize processes.
• Communication: Strong communication skills to effectively present findings, collaborate with team members

REQUIREMENTS/EDUCATION:

• Bachelor's degree in Data Science, Data Analytics, or related field
• GPA of 3.0 or above preferred

Bachelor's Degree (Required)

Up to 1 Year

Full time

New College Grad

$92,000.00 - $126,500.00