Supply Chain Data Engineer

## Supply Chain Data Scientist Apply locations:
Farmers Branch, TXtime type:
Full time posted on:
Posted Yesterday job requisition :
JR100869
** Forming Our Future together
** Form Factor, Inc. (NASDAQ: FORM), is a leading provider of essential test and measurement technologies along the full semiconductor product life cycle — from characterization, modeling, reliability, and design de-bug, to qualification and production test. Semiconductor companies rely upon Form Factor’s products and services to accelerate profitability by optimizing device performance and advancing yield knowledge. The company serves customers through its network of facilities in Asia, Europe, and North America.

Rooted in our core values — Focus on the Customer, Ownership & Accountability, Respectfully & Effectively Communicate, and Motivate & Develop People — we foster an environment where diverse perspectives are not only welcomed but celebrated. Everyone can make an impact here. Whether it's improving products, supporting customers, or positively influencing peers and the community, the contributions of our people matter.
** Shift:
** The regular hours for this position are day shift.
*
* Job Description:

** We are seeking a
** Supply Chain Data Scientist
** to assist the development of a scalable
** Planning Analytics and Automation capability
** that enables data-driven decision-making across a complex, global supply chain.

This individual will work across a team to
** define the strategy, standards, and roadmap for planning analytics**, transforming fragmented data environments into integrated, enterprise-level solutions that support SIOP and operational execution.

The role combines fluency in advanced analytics, data engineering, and supply chain processes to translate ambiguous business challenges into scalable analytical frameworks, predictive models, and system-enabled decision support tools.

This individual will drive
** cross-functional alignment**, partner with IT to operationalize solutions, and ensure that analytics capabilities are embedded into planning processes and business decisions—not just delivered as standalone outputs.
*
* Key Responsibilities:

**** Data Automation & Process Transformation
*** Lead transformation of fragmented, manual planning processes into scalable, automated analytics workflows.
* Define and implement scalable data pipelines and data models integrating ERP, planning systems, and external data sources.
* Drive standardization of data flows and reduce dependency on manual data manipulation and spreadsheets.
* Partner with IT to ensure analytics solutions are aligned with enterprise architecture and scalable for global deployment.
** Advanced Analytics, Modeling & Decision Support
*** Support design and deploy predictive and prescriptive models to support supply chain decision-making, including Demand forecasting and signal consumption, Inventory optimization and policy setting, Capacity, backlog, and shortage modeling, and Supplier performance and risk analytics.
* Lead monthly scenario planning and what-if analysis to support SIOP and executive decision-making.
* Provide structured analysis of trade-offs across supply, demand, cost, and service.
* Translate complex analytical outputs into clear, actionable recommendations for all stakeholders.
** Enterprise Integration & Cross-Functional Collaboration
*** Assist cross-functional alignment between Planning, Operations, Procurement, Logistics, Finance, and IT to define requirements and embed analytics into business processes.
* Serve as the bridge between business and technology, ensuring solutions are practical, adopted, and sustained.
* Partner with IT to deploy models, dashboards, and workflows into production environments with enterprise-grade performance and governance.
* Train and mentor analysts or planners in applying analytics tools and standardized approaches.
** Data Governance & Standards Ownership
*** Outline data governance for planning analytics, including Data quality standards, Metric definitions, and Reporting consistency across sites.
* Establish frameworks for data validation, monitoring, and continuous improvement.
* Ensure alignment with…