Supply Chain Data Scientist

FormFactor Inc.•Farmers Branch, TX

8d•Onsite

About The Position

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.

Requirements

No previous professional experience

Nice To Haves

Strong proficiency in: Python or R, SQL (data extraction, transformation, performance optimization), and Power BI, Tableau, or similar BI tools.
Experience with Oracle preferred.
CSCP certification
Understanding of end-to-end supply chain processes (demand, supply planning, production, inventory, logistics), preferably in a high-mix, low-volume environment.
Demonstrated ability to design and deploy scalable analytics solutions, not just one-off analyses.
Strong ability to translate complex data into business insights and high-level recommendations.
Experience working with enterprise data environments, including ERP systems and cross-functional datasets.
Experience with supply chain planning systems (Kinaxis, SAP IBP, or similar).
Experience with cloud data platforms (Azure, AWS, Snowflake).
Experience integrating analytics across ERP, planning systems, and data platforms.

Responsibilities

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.
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.
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.
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 enterprise data platforms, security, and compliance requirements.
Propose actions for the development of the Planning Analytics & Automation capability; defining standards, tools, and roadmap to scale analytics across the global supply chain.
Establish and standardize data models, KPIs, and planning metrics to ensure consistency and comparability across sites and functions.
Identify and prioritize high-impact use cases to improve planning performance, decision speed, and visibility across SIOP and execution.
Drive adoption of analytics tools and insights across planning, operations, and leadership teams.