Senior Data Scientist

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Scientist City Toronto | State/Province Ontario | Country Canada Req ID: 134618 Remote Position: Region: Country Canada State/Province: 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.

Read the full description at careers.celestica.com. FewerJobs shows a preview and links to the original posting.