As a Loss Prevention Engineer at Micron, you will be responsible for developing and implementing data-driven solutions to prevent losses and improve operational efficiency. You will work closely with cross-functional teams to analyze data, identify trends, and develop predictive models to mitigate risks. Your expertise in machine learning and data analysis will be crucial in driving business decisions and improving operational performance.
Key Responsibilities
- Analyze data to identify trends and patterns that may indicate potential losses or operational inefficiencies.
- Develop and implement predictive models using machine learning algorithms to mitigate risks and prevent losses.
- Work closely with cross-functional teams to implement data-driven solutions and improve operational efficiency.
- Collaborate with data scientists and engineers to design and develop data pipelines and analytics tools.
- Develop and maintain dashboards and reports to provide insights and recommendations to stakeholders.
Requirements
- 3+ years of experience in loss prevention, risk management, or a related field.
- Strong expertise in machine learning and data analysis, with experience in developing predictive models.
- Proficiency in programming languages such as Python and experience with AWS.
- Excellent communication and collaboration skills, with the ability to work with cross-functional teams.
- Bachelor's degree in a related field, such as computer science, mathematics, or statistics.