Celestica

Senior Data Scientist

Celestica$100K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5 years of relevant supply chain experience preferred, open to graduates with internships
  • Experience with Microsoft Azure and Google Cloud platforms
  • Solid foundation in machine learning, especially AI and ML models
  • Proficient in Python and PySpark
  • Familiarity with data engineering and CI/CD pipeline concepts
  • Experience with Power BI for data visualization
  • Understanding of large language models and natural language processing is a plus

Responsibilities

  • Support ongoing data projects focusing on cost and price productivity
  • Gather, organize, and manage required data for modeling
  • Maintain AI and machine learning models for business use
  • Develop dashboards and reports to convert data into insights
  • Create and deploy AI/ML solutions for complex challenges
  • Ensure thorough documentation and version control of work

Benefits

  • Hybrid remote work arrangement
  • Access to innovative technologies and data-driven projects
  • Collaborative team culture with cross-functional partners
  • Opportunities for professional development and mentorship
  • Engagement with advanced AI and machine learning solutions
Full Job Description
Req ID: 134618
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

Experience using the following services/tools:
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.


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.

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.

About Celestica

Celestica is a Canadian multinational electronics manufacturing services company headquartered in Toronto, Ontario. The company provides a range of services to original equipment manufacturers (OEMs) in the aerospace and defense, communications, enterprise computing, healthcare, industrial, semiconductor, and smart energy industries. Celestica's services include design and engineering, supply chain management, assembly and testing, and after-market services. The company operates in North America, Europe, and Asia and has manufacturing facilities in over 10 countries. Celestica was founded in 1994 as a subsidiary of IBM Canada and became an independent company in 1997.
Learn more about Celestica
Size
23,915 employees
Market Cap
$1.3 billion
Industry
Founded
1994
5 Year Trend
-1.3%
NASDAQ

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