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Relocation Package Data Science Jobs in Toronto, ON

Data Scientist - TD Asset Management

Toronto, ON ยท On-site

CA$105K - CA$145K/yr

Apply specialized skills and fundamental data science methods (predictive modeling, Generative AI ... Our Total Rewards Package Our Total Rewards package reflects the investments we make in our ...

... and data science Partner with the CEO and executive team to identify new data products ... packaging, and go-to-market strategy QualificationsRequired 10+ years of experience in data ...

Senior Data Analyst (m/f/d)

Toronto, ON ยท On-site +1

CA$110K - CA$140K/yr

Your focus will include seller health, inventory, listings, packages, engagement, conversion, and ... Experience partnering with Data Science and ML teams. * Hands-on experience with AI tools for ...

Senior Data Scientist

Toronto, ON ยท Remote

$154K - $246K/yr

Advanced degree in applied mathematics, statistics, actuarial science, economics or a related field ... As part of our total rewards package, we offer attractive benefits and perks to our employees ...

Senior Data Scientist

Toronto, ON ยท On-site

CA$103K - CA$192K/yr

... Senior Data Scientist to join our team on a 12-month contract to support key machine learning ... BMO Financial Group's total compensation package will vary based on the pay type of the position ...

Partners closely with data science and business intelligence teams to understand business needs and ... Snowflake or similar cloud data platform experience preferred Relocation benefits are not available ...

Director,Quantitative Data Products

Toronto, ON ยท Hybrid

CA$121K - CA$170K/yr

Partner with cross-functional teams including data science, data engineering, partnerships, client ... What We Offer We're proud to offer a competitive rewards package that is meaningful, recognizes the ...

High proficiency in Python, SQL and expert knowledge of common data science packages and experience with cloud platforms (Snowflake, AWS) * Strong communication skills and the ability to explain ...

Senior Data Scientist

Toronto, ON ยท Hybrid

CA$103K - CA$192K/yr

Data Analytics & Reporting This is a hybrid role in Toronto Uses advanced analytical algorithms and ... BMO Financial Group's total compensation package will vary based on the pay type of the position ...

Data Science or related certifications preferred Our Total Rewards philosophy reflects our ... package to help our employees - and their family members - achieve their physical, financial ...

PDD Analytical Data Science teams are mobilized across the portfolio to generate data-driven ... Interest in workflow optimization and continuous improvement Relocation benefits are not available ...

Showing results 41-60

Relocation Package Data Science information

What is a relocation package for data science jobs?

A relocation package for data science jobs is a set of benefits provided by employers to help new hires move to a new location for work. These packages typically cover expenses such as moving costs, temporary housing, travel expenses, and sometimes assistance with finding permanent housing. The goal is to reduce the financial and logistical burden of relocating so that data scientists can start their new roles smoothly. The specifics of a relocation package can vary widely between companies, locations, and job levels.

How does a typical relocation package support data science professionals moving to a new city or country for a role?

A typical relocation package for data science professionals often includes assistance with moving expenses, temporary housing, and support with visa or work permit processes. You may also receive help with finding permanent accommodation and settling-in services, such as local orientation or language courses. These benefits are designed to ease the transition so you can focus on your new role, collaborate effectively with your team, and integrate quickly into the organization. Relocation packages vary by company, so it's a good idea to clarify the details during the hiring process.

What are the key skills and qualifications needed to thrive as a data scientist, especially when utilizing relocation packages, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, programming (typically Python or R), and a relevant degree such as in computer science or mathematics. Experience with machine learning frameworks, data visualization tools, and familiarity with cloud platforms and big data systems are commonly required, while certifications like AWS Certified Data Analytics or Google Data Engineer can be advantageous. Excellent problem-solving, communication, and adaptability skills help you collaborate across diverse teams and adjust to new environments, especially during relocation. These skills ensure you can extract actionable insights from complex data, integrate smoothly into new workplaces, and drive impactful business decisions.

What is the difference between Relocation Package Data Science vs Data Analyst?

AspectRelocation Package Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentTech companies, consulting firms, or finance sectors with complex data projectsBusiness, marketing, or finance departments analyzing data for insights
Employer & Industry UsageCommon in industries offering relocation packages for specialized rolesWidely used across industries for routine data analysis tasks

Relocation Package Data Science roles typically require advanced degrees and focus on developing predictive models and algorithms, often in tech or finance sectors. Data Analysts usually have similar educational backgrounds but focus on interpreting data and generating reports. Both roles may involve relocation, but Data Science positions tend to be more specialized and technical.

What are popular job titles related to Relocation Package Data Science jobs in Toronto, ON? For Relocation Package Data Science jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Relocation Package Data Science jobs in Toronto, ON look for? The top searched job categories for Relocation Package Data Science jobs in Toronto, ON are:
Infographic showing various Relocation Package Data Science job openings in Toronto, ON as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution.

Director (Data & Operations)

Open Text Corporation

Mississauga, ON โ€ข On-site

Other

PTO

Re-posted 13 days ago


Job description

Hiring Manager: Josh Reif

Talent Acquisition Advisor: Archana Namasivayam

Job Code Level: IGM3

Refer Your Friends!

AI-First. Future-Driven. Human-Centered.

At OpenText, AI is at the heart of everything we do-powering innovation, transforming work, and empowering digital knowledge workers. We are hiring talent AI can't replace to help us shape the future of information management. Join us.


Your Impact:

The Director of Data and Operations will lead a global team responsible for OpenText's enterprise data platforms, data operations and data governance functions. This leader will be accountable for building and scaling foundational enterprise data capabilities enabling trusted, governed, and AI-ready data. The ideal candidate brings deep technical expertise in Microsoft Fabric, the Medallion Architecture, and Agile delivery practices, with a proven track record of implementing scalable data platforms and enabling AI/ML solutions through strong data foundations.

This role requires a hands-on leader who can drive the design and execution of metadata-driven ingestion frameworks, orchestrate the transformation of raw data into curated, analytics-ready assets, and ensure operational excellence across the data lifecycle. The Director will partner closely with business and technology stakeholders to prioritize delivery, enforce governance, and accelerate the development of AI-enabled data products. Experience with deploying data science models and integrating LLMs into enterprise workflows is highly desirable.

What the role offers:

As a Director, Data & Operations you will:

  • Lead the global Data Platforms and Operations organization, including data platform, data governance, and data operations teams.
  • Own the implementation, and evolution of OpenText's Fabric-based data platform, including medallion architecture (Bronze, Silver, Gold).
  • Drive the development of metadata-driven ingestion and transformation frameworks to support scalable, governed data pipelines.
  • Establish and enforce enterprise data governance policies, including data quality, lineage, access control, and certification of Gold datasets.
  • Partner with business and product teams to prioritize data domain onboarding and deliver trusted, AI-ready data products.
  • Enable AI and data science teams by ensuring data is curated, accessible, and aligned with model training and inference needs.
  • Champion Agile delivery practices and lead the adoption of SAFe-aligned ways of working across the data organization.
  • Collaborate with security, compliance, and architecture teams to ensure platform resilience, privacy, and regulatory alignment.

What you need to succeed:

  • 10+ years of experience in data platform, data operations, or Data and Operations leadership roles, with at least 3 years leading global teams.
  • Proven experience implementing enterprise-scale data platforms using Microsoft Fabric, Azure Synapse, or similar cloud-native architectures.
  • Deep understanding of the Medallion Architecture and experience operationalizing Bronze, Silver, and Gold data layers.
  • Hands-on experience with data science workflows, including enabling ML/AI models and integrating LLMs into enterprise applications.
  • Strong knowledge of Agile delivery frameworks; SAFe certification is a plus.
  • Demonstrated ability to lead cross-functional teams, manage complex programs, and deliver measurable business outcomes.
  • Excellent communication and stakeholder management skills, with the ability to translate technical concepts into business value.

One last thing:

OpenText is more than a corporation-it's a global community built on trust, character, and purpose. Here, we act ethically, care deeply about people, and always put our clients first. We help teams succeed through collaboration, tackle challenges with resilience, and innovate with intention.

Join us on our mission to drive positive change through privacy, technology, and teamwork. At OpenText, we don't just have a culture-we live our values. Choose us because you want to be part of a company that empowers you to make a meaningful impact.


OpenText's commitment to diversity and inclusion surpasses legal requirements, evident in ourEqual Employment Opportunity Statement of Policy which promotes a respectful and empowering environment for employees of all backgrounds, culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please submit a ticket atAsk HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

Compensation: At OpenText, we offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. As you move through the hiring process, we're happy to provide more details about our compensation programs, including variable and commission compensation opportunities for eligible roles, vacation entitlement, and paid time off.

AI Usage Disclosure: As part of our commitment to transparency, we use artificial intelligence (AI) tools to assist in various stages of our recruitment process, including resume screening, candidate matching, interview scheduling, and communications. These tools are designed to improve efficiency, reduce bias, and enhance candidate experience. All decisions regarding hiring are made by qualified human professionals, and we continuously monitor our AI systems to ensure fairness and compliance with applicable regulations.

Employment Type: OTHER