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Remote Cfa Data Science Jobs in Toronto, ON (NOW HIRING)

Morson Talent

25-053 Data Architect

Pickering, ON · On-site +1

$85 - $100/hr

... remote) Job Overview JOB FUNCTION As a Data Architect you will be responsible for leading the Azure ... scientists, data engineers, data analysts and solution architects to develop data pipelines to feed ...

JLL

Senior Data Engineer

Toronto, ON · Remote

Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related ... Remote -Toronto, ON Opening Type: New Role If this resonates with you, we encourage you to apply ...

Epistemix

Synthetic Population Engineer

Toronto, ON · Remote

The Synthetic Population Engineer uses cutting edge data science techniques to continuously improve ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Epistemix

AI Engineer

Toronto, ON · Remote

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

... remote) Job Overview As a Senior Data Developer, you will be responsible for building and ... Collaborate with data architect, business analysts, data scientists, data engineers, data analysts ...

National Bank

Senior Analyst

Richmond Hill, ON · On-site +1

... science, or data science. • Have 2 to 3 years of professional experience in risk management ... CFA, FRM, or SAS certification; knowledge of artificial intelligence or machine learning is an ...

Morson Talent

25-010 Senior Data Developer

Pickering, ON · Remote

$80 - $95/hr

... Pickering (100% Remote) Job Overview JOB FUNCTION As a Senior Data Developer, you will be ... Collaborate with data architect, business analysts, data scientists, data engineers, data analysts ...

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Remote Cfa Data Science information

What is a remote CFA Data Science?

Remote CFA Data Science jobs are positions that combine expertise in data science with knowledge of finance, specifically leveraging the Chartered Financial Analyst (CFA) credential. Professionals in these roles analyze financial data, build predictive models, and provide insights to guide investment decisions—all while working remotely. These jobs typically require strong quantitative skills, proficiency in programming languages like Python or R, and a deep understanding of financial markets. The remote aspect allows for flexible work arrangements, enabling professionals to contribute from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote CFA Data Science professional?

To excel as a Remote CFA Data Science professional, you typically need a solid background in quantitative analysis, financial modeling, and data science, with a CFA designation and a degree in finance, statistics, or a related field. Familiarity with tools such as Python, R, SQL, and financial analytics platforms, along with proficiency in data visualization software, is essential. Strong problem-solving abilities, communication skills, and self-motivation are vital soft skills for effective collaboration and independent remote work. These competencies ensure accurate financial insights, efficient data-driven decision-making, and effective teamwork across distributed environments.

How do remote CFA Data Science professionals typically collaborate with cross-functional teams despite working remotely?

Remote CFA Data Science professionals often collaborate with investment analysts, portfolio managers, and IT teams through digital communication tools like Slack, Zoom, and project management platforms. Regular virtual meetings, shared dashboards, and collaborative coding environments help streamline workflow and ensure everyone stays aligned on project goals. While time zone differences or limited face-to-face interaction can be challenging, clear documentation and proactive communication are key strategies to maintain effective teamwork.

What is the difference between Remote Cfa Data Science vs Remote Cfa Investment Analyst?

AspectRemote Cfa Data ScienceRemote Cfa Investment Analyst
CredentialsCFA Charter, Data Science skillsCFA Charter, Investment analysis skills
Work EnvironmentData analysis, modeling, programmingFinancial research, portfolio management
Industry UsageFinance, tech, data-driven firmsAsset management, investment firms

Remote Cfa Data Science focuses on applying data analysis and modeling techniques within finance, often requiring programming skills alongside CFA credentials. In contrast, Remote Cfa Investment Analysts primarily conduct financial research and portfolio analysis. Both roles are CFA-certified and operate in finance but differ in daily tasks and skill sets.

What are popular job titles related to Remote Cfa Data Science jobs in Toronto, ON?

For Remote Cfa Data Science jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Cfa Data Science jobs in Toronto, ON look for?

The top searched job categories for Remote Cfa Data Science jobs in Toronto, ON are:

Remote Cfa Data Science jobs near you
Infographic showing various Remote Cfa Data Science job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Senior Data Scientist

Celestica International LP

Toronto, ON • On-site, Remote

Full-time

Re-posted 29 days ago

Key responsibilities

  • Support ongoing data projects related to Cost Productivity, Price Productivity, and First Quote Competitiveness.

  • Gather, organize, clean, and prepare data for modeling and support the development and maintenance of AI and Machine Learning models.

  • Develop dashboards and reports to translate data and insights into understandable information for business users.

Celestica rating

8.8

Company rating: 8.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

14th of 161 rated electronics manufacturers

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.
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.

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