An accounting leadership position within Tyson Foods’ Corporate Accounting, Enablement Accounting team, with a strong emphasis on data and technology. Supports weekly and monthly close and provides timely, accurate reporting and insight into corporate expense results.
Internship in the HBM organization focusing on data analysis and AI-driven solutions for semiconductor product and manufacturing data.
Responsibilities
Analyze probe, parametric, characterization, electrical, process, and manufacturing data to assess device health and identify trends, correlations, and potential root causes.
Support engineering experiments, test vehicles, characterization activities, and silicon learning through data collection, analysis, documentation, and tracking.
Perform cross-functional data correlation to evaluate interactions among semiconductor design, process technology, assembly/package, and electrical performance.
Develop and improve automated data-analysis, visualization, and correlation workflows using Python, JMP/JSL, SQL, or similar tools.
Apply AI, Generative AI, and Agentic AI to improve engineering workflows, data analysis, test development, and problem-solving efficiency.
Requirements
Bachelor's degree program in Electrical Engineering, Computer Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Applied Physics, Computer Science, Data Science, or a related technical field
The Internal Audit function is responsible for providing an objective evaluation of the design and operating effectiveness of governance, risk management and internal controls. This position is responsible for providing data analytics and automation solutions with a focus on strategic capability development in support of Tyson’s Internal Audit function.
Responsibilities
Create risk-focused data analytics and automation solutions for the Audit Service team, with accountability for the planning, alignment, execution and reporting phases of the supported audits
Develop policy-driven and exception-based reporting to support the reduction of manual audit test areas and reduce time to perform audits while identifying value added insights
Gain an understanding of technology used to execute core business processes, along with the data schemas, dependencies and flows. Incorporate data into analytics tools to create visualizations and reports that highlight key risks and anomalies
Develop and manage relationships with IT and functional teams to ensure data and metrics provide value to the organization, provide an accurate reflection of the business and align with strategic data objectives
Work with audit team to adopt and integrate analytics in audit procedures, including on-site support for key analytics areas and projects
Requirements
Bachelor’s degree in Accounting, Finance, Technology, Data Science, or other business-related disciplines
Master’s degree in Data science, Analytics, Information Systems, or a related field preferred
This role focuses on the design, development, and enhancement of processes, tools and infrastructure used to support SHC's Data Scientists as they create and deploy AI/ML solutions utilizing the Enterprise Data Platform.
Compensation
Generally starting at $66.52 - $88.14 per hour
Responsibilities
Design, develop, and enhance processes, tools, and infrastructure for AI/ML solutions
Coordinate with Data Scientists on DevOps, SecOps, and FinOps processes
Infrastructure planning and automated Infrastructure as Code (IaC) processes
Create monitoring capabilities to assess the accuracy, validity, and usefulness of AI/ML solutions
Design and create complex pipelines and curated data structures/products for data analysts
Requirements
BS/BA DEGREE IN INFORMATION TECHNOLOGY
INFORMATION SYSTEMS
BUSINESS MANAGEMENT
BUSINESS ANALYTICS
BUSINESS ADMINISTRATION OR A DIRECTLY RELATED FIELD
Design and create complex data pipelines and curated data structures for use by data analysts across Stanford Health Care.
Compensation
Base Pay Scale: Generally starting at $66.52 - $88.14 per hour
Responsibilities
Design and develop data ingestion processes to the SHC Enterprise Data Platform
Create data pipelines and automate development and operational processes
Consult and support other data engineers in design and implementation of data movement processes
Maintain performance of SHC's standard data modeling, DevOps and development tools
Lead teams to define design and development standards
Requirements
Bachelor's degree in Information Technology, Information Systems, Business Management, Business Analytics, Business Administration or a directly related field from an accredited college or university
Oversee and refine data platform and operational processes, ensuring high availability and performance of data pipelines.
Respond to incidents using defined support processes; assess post-incident learnings and drive preventive actions.
Requirements
BS/BA degree in information technology, information systems, business management, business analytics, business administration or a directly related field from an accredited college or university
The salary range estimated for this position based in California is $114,600.00 - $152,800.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.
Responsibilities
Partner with site operations and process owners to select lighthouse projects and define user requirements
Design, code, test, and deploy custom manufacturing applications and reusable services
Evaluate, configure, extend, and integrate off‑the‑shelf manufacturing software
Own technical integration with equipment, ERP, and other enterprise systems
Work with IT on infrastructure, identity, networking, cybersecurity, and architecture
Requirements
Bachelor's degree in Computer Science, Software, Computer, Electrical, Industrial, or Systems Engineering
Master's degree in Computer Science, Software, Computer, Electrical, Industrial, or Systems Engineering