Senior Data Scientist

Celestica; Toronto; Hybrid; CAD 89,000 - 125,000; Full time

Job summary

Celestica in Toronto is seeking a Specialist, SCM Data to join a data-driven team that builds pipelines and analytics to solve business problems. You will partner with supply chain stakeholders to develop insights and dashboards that enable incremental improvements.

The role focuses on data preparation, ML/AI model support, and storytelling through reports, with hybrid work options and a strong emphasis on documentation and version control.

Qualifications

• Experience with data engineering and analytics in supply chain.
• Experience with AI/ML models and dashboards.
• Familiar with Azure/GCP data services.
• Ability to learn new languages/tools quickly.
• Knowledge of supply chain domain a plus.

Responsibilities

• Support data projects for Cost Productivity, Price Productivity, and First Quote Competitiveness.
• Gather, organize, and prepare data for modelling.
• Support and maintain AI/ML models for business users.
• Develop dashboards and recurring reports to translate data into insights.
• Develop and deploy AI/ML models to solve business problems.
• Document work and maintain version control.

Skills

Azure Data Factory

Azure Databricks

Azure ML

Google Cloud Vertex AI

BigQuery

Cloud Storage

ML

NLP

RAG

CI/CD

Python

PySpark

Power BI

SQL

Adaptability

Tools

ML Ops

CI/CD Pipelines

Job description

Remote Position: Hybrid

Region: Americas

Country: Canada

State/Province: Ontario

City: Toronto

Summary

As the Specialist, SCM Data, you will be joining a team that embraces data and technology to develop advanced and innovative solutions. In this role, you will engage with Supply Chain cross functional business partners and facilitate building data pipelines and analytics projects to tailor solutions to business problems, using analytics to provide insights to enable incremental results.

Detailed Description

Key Responsibilities

• Support ongoing data projects for Cost Productivity, Price Productivity, and First Quote Competitiveness.
• Data Pipeline: Gather required data, organize and manage the data, clean and prepare for modelling.
• Data Analysis: Support and maintain AI and Machine Learning Models for consumption by Business users.
• Story Telling: Develop dashboards and recurring reports to translate data & information into insight.
• AI/ML Solution Development: Develop and deploy AI or machine learning models and algorithms to solve complex business problems.
• Dedication to ensuring your work is well documented and version controlled.

Knowledge/Skills/Competencies

1. Microsoft Azure cloud services: Azure Data Factory, Azure Databricks, Azure ML.
2. Google Cloud Platform: Vertex AI, BigQuery, Cloud Storage, and other services.
3. Machine Learning, Good to have Natural Language processing and Deep Learning.
4. Familiar with ML Ops, Data Engineering and CI/CD Pipeline concepts.
5. Foundational knowledge on large language models (LLMs), transformer models, and retrieval augmented generation (RAG) is an asset.
6. Python, PySpark.
7. Power BI platforms.
8. Relational SQL databases.
9. The ability to quickly familiarize yourself with new languages, tools, frameworks.
10. General knowledge of the supply chain is considered an asset.

Physical Demands

• Duties of this position are performed in a normal office environment.
• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.

Salary

The stated range includes Base Salary and target Short-Term Incentive (STI) compensation only. A comprehensive benefits package is offered in addition to this range.

The range described in this posting is an estimate by the Company, and may change based on several factors, including but not limited to a change in the duties covered by the job posting, or the credentials, experience or geographic jurisdiction of the successful candidate.

Salary Range: 89,355 - 124,739

Typical Experience

Prefer 3-5 years of relevant supply chain experience, and open to considering new graduates with internship experience.

Typical Education

Prefer 3-5 years of relevant supply chain experience, and open to considering new graduates with internship experience.

Notes

This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

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.

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.

COMPANY OVERVIEW

Celestica (NYSE, TSX: CLS) enables the world’s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development – from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.

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.