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About the Role
As a SCM Data Advisor, you will act as the crucial bridge between our Supply Chain Management operations and our advanced Data Science and AI teams. You will support the end-to-end lifecycle of Data Science and AI projects across all SCM processes, partnering with cross-functional business leaders to identify operational bottlenecks and translate them into actionable AI/data initiatives.
Responsibilities
- Partner with supply chain domain experts to understand operational workflows and identify high-value technical opportunities where AI, machine learning, and data pipelines can optimize global SCM strategies.
- Support the planning, execution, and day-to-day management of data science and machine learning projects, ensuring they align with overarching global SCM strategies.
- Translate complex SCM business problems into clear technical requirements for data scientists and engineers.
- Assist in the design and facilitation of data pipelines and AI models, ensuring solutions are tailored to solve specific, measurable business problems.
- Drive the rollout and adoption of new AI tools and dashboards across the supply chain organization.
- Monitor project milestones, track key performance indicators (KPIs), and report on the ROI and operational improvements generated by deployed data initiatives.
Requirements
- Deep, hands-on experience building models in Machine Learning (ML), Natural Language Processing (NLP), and Deep Learning.
- Proven capability working with Large Language Models (LLMs), Transformer architectures, and building RAG-based applications.
- Expert-level proficiency in Python and PySpark for scalable data processing, data manipulation, and advanced analytics.
- Strong command of relational SQL databases.
- Advanced understanding of data engineering concepts, tool integration, and deploying scalable machine learning models using MLOps and CI/CD pipelines.
- Practical experience implementing the Model Context Protocol (MCP).
- Ability to configure, build, and manage MCP servers to securely and standardly connect AI models/agents with enterprise SCM data sources, internal operational tools, and external APIs.
- High proficiency in Power BI to build technical analytics dashboards.
- Hands-on experience architecting and deploying AI solutions within Microsoft Azure (Databricks, Data Factory) and Google Cloud Platform (Vertex AI, BigQuery, Cloud Storage).
- Demonstrated ability to quickly learn, adopt, and implement emerging languages, technical frameworks, and AI tools.
- Ability to leverage technical expertise to map end-to-end Supply Chain Management (SCM) processes to advanced technical solutions, acting as the lead technical architect on operational data projects.
Skills
- Machine Learning (ML)
- Natural Language Processing (NLP)
- Deep Learning
- Large Language Models (LLMs)
- Transformer architectures
- RAG-based applications
- Python
- PySpark
- SQL
- Data Engineering
- MLOps
- CI/CD pipelines
- Model Context Protocol (MCP)
- Power BI
- Microsoft Azure (Databricks, Data Factory)
- Google Cloud Platform (Vertex AI, BigQuery, Cloud Storage)
Location
- Hybrid
- Canada
- Ontario
- Toronto
Work Type
- Hybrid
Experience Level
- 5+ years of relevant supply chain experience and AI experience
Education Level
- Post-secondary education or University Degree in Data Science, Machine Learning, Statistics, Mathematics, Computer Science, Analytics, or consideration of an equivalent combination of education and experience.
Salary/Compensations
- $104,732-$150,000
Benefits
- A comprehensive benefits package is offered in addition to this range.
About the Company
- Celestica, Inc. (NYSE: CLS; TSX: CLS) is a technology leader dedicated to driving customer success and market advancements. With deep expertise in design, engineering, manufacturing, supply chain, and platform solutions, Celestica enables critical data center infrastructure for AI, cloud, and hybrid cloud and advances technologies in high-growth markets. With a talented team and a strategic global network, Celestica helps its customers achieve competitive advantages.
- ATS: This segment serves customers in complex, regulated and high-reliability markets such as Industrial & Smart Energy, Aerospace & Defense, Semiconductor Capital Equipment, and HealthTech. It is engineering led, with deep expertise in design, manufacturing and lifecycle solutions.
- CCS: This segment focuses on high-performance technology solutions and services for the data center, serving hyperscalers, digital native customers and enterprises. Celestica's Platform Solutions offering provides innovative and customizable computing, storage and networking solutions enabling AI-driven growth.
- Built on a legacy of trust and performance, Celestica has earned its reputation by delivering results in complex and fast-changing markets. Celestica exceeds customer expectations by identifying trends and staying ahead of the curve. Backed by comprehensive capabilities and a global network across North America, Europe and Asia, Celestica helps customers gain competitive advantage with the quality, flexibility and resiliency they need to respond quickly to shifts in demand. Guided by a bold vision to accelerate market advancements, Celestica delivers innovative solutions and technologies that turn complexity into opportunity. Anchored in teamwork and commitment, Celestica strives to be the most trusted partner to its customers and colleagues worldwide.
- We use artificial intelligence tools to assist in screening and assessing applications for this role. All hiring decisions involve human review.
- This posting is for an existing vacancy.
- Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
- Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
Equal Opportunity
- Celestica is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
- At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.