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Relocation Package Data Science Jobs in Ontario (NOW HIRING)

McKesson

Senior/Lead Data Scientist

Mississauga, ON · On-site +1

Business Experience - * 7+ years of hands-on data science experience delivering models to ... Git, testing, packaging, pipelines; containerization; performance/cost tuning in cloud ...

Targeted Talent

Junior Data Engineer

Kitchener, ON

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position ... Relocation Package * RSP matching If this opportunity sounds like something that fits your career ...

Targeted Talent

Junior Data Engineer

Kitchener, ON

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position ... Relocation Package * RSP matching If this opportunity sounds like something that fits your career ...

Targeted Talent

Junior Data Engineer

Waterloo, ON

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position ... Relocation Package * RSP matching If this opportunity sounds like something that fits your career ...

Targeted Talent

Junior Data Engineer

Waterloo, ON

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position ... Relocation Package * RSP matching If this opportunity sounds like something that fits your career ...

Monograph

CA$128K - CA$174K/yr

About the team Data Science at Stripe is a vibrant community where data analysts, data scientists ... Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for ...

Targeted Talent

2 - Senior Data Engineer

Kitchener, ON · On-site

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Relocation Package * RSP matching If this opportunity sounds like something that fits your career ...

Targeted Talent

2 - Senior Data Engineer

Waterloo, ON · On-site

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Relocation Package * RSP matching If this opportunity sounds like something that fits your career ...

Targeted Talent

2 - Senior Data Engineer

Waterloo, ON · On-site

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Relocation Package * RSP matching If this opportunity sounds like something that fits your career ...

Targeted Talent

2 - Senior Data Engineer

Kitchener, ON · On-site

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Relocation Package * RSP matching If this opportunity sounds like something that fits your career ...

Td

Data Scientist II

Markham, ON

CA$81K - CA$115K/yr

In-depth knowledge of data science tools such as NumPy, pandas, matplotlib or R equivalent ... Our Total Rewards Package Our Total Rewards package reflects the investments we make in our ...

BMO Capital Markets

Data Scientist

Toronto, ON · On-site

CA$82K - CA$154K/yr

Typically between 5 - 7 years of relevant experience and post-secondary degree in Computer Science ... BMO Financial Group's total compensation package will vary based on the pay type of the position ...

New

ATS Automation

Data Scientist

Cambridge, ON · On-site

CA$600/day

... Benefits package (health and dental) + $600 health spending account Half-Day Fridays Continuous ... Computer Science, Information system, Mathematic, Statistics, Machine Learning, Artificial ...

Scotiabank

Data Scientist - AI/ML

Toronto, ON · On-site

University/Post graduate degree in a relevant STEM discipline (Science, Technology, Engineering ... A competitive compensation and benefits package. * An inclusive and collaborative working ...

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All JobsRelocation Package Data Science JobsRelocation Package Data Science Jobs in Ontario

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 Ontario? For Relocation Package Data Science jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Relocation Package Data Science jobs in Ontario look for? The top searched job categories for Relocation Package Data Science jobs in Ontario are:
What cities in Ontario are hiring for Relocation Package Data Science jobs? Cities in Ontario with the most Relocation Package Data Science job openings:
Relocation Package Data Science jobs near you

Senior/Lead Data Scientist

McKesson

Mississauga, ON • On-site, Remote

Full-time

Re-posted 23 days ago

McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 209 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical

Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Job Title: Senior/Lead Data Scientist

Current Need:

TheSenior/Lead Data Scientistis responsible fordriving the full lifecycle of advanced analytics and machine learning solutions-from problem framing and hypothesis design to production deployment and continuous monitoring-delivering measurable business outcomes for McKesson'sbusinesses. This role partners with business stakeholders to translate requirements into technical solutions, ensures robust model governance and performance benchmarking, andpioneersinnovative analytical approaches that improve operational efficiency and market competitiveness.

The Data Scientist provides deep technical leadership in modern ML methods, including time-series forecasting, optimization, simulation, causal inference, and LLM/NLP whereappropriate. In addition, the role works closely with product, engineering, and business teams, champions McKesson's enterprise model development standards, and upholds the company's ILEAD leadership principles.

Key Responsibilities

  • Identifyopportunities forleveragingcompany data to drive innovative and scalable machine learning solutions that address complex business challenges. Develop and implement strategies that enhance operational efficiency, automate decision-making, improve customer outcomes, andoptimizeresource allocation. Apply advanced analytics to evaluate organizational performance, simulate potential impacts of strategic changes, and support initiatives across domains such as predictive modeling,forecasting,classification, recommendation systems, anomaly detection, andNLP/LLM.
    • Develop custom machine learning models and algorithms tailored to business needs. Apply these models to large datasets to generate actionable insights and support strategic decision-making
    • Collaborate with cross-functional teams to deploy,monitor, andmaintainML models in production environments. Ensure scalability, reliability, and compliance with enterprise standards
    • Build andmaintainscalable data infrastructure to support both real-time and batch decisioning. Leverage cloud-native tools and platforms tooptimizeperformance and cost
    • Engage with business stakeholders to translate requirements into technical solutions. Provide thought leadership and guidance on analytical approaches and data strategy
    • Ensure model governance, documentation, and performance benchmarking. Maintain compliance with Responsible AI and data privacy standards
    • Build andmaintainscalable data systems andinfrastructure that empower our business teams to make betterdecisions

    Minimum Job Qualifications(Knowledge, Skills, & Abilities):

    Education/Training -

    Bachelors in math, statistics, engineering, oranother STEM field or equivalent experienceand typically requires8+ years of relevantexperience. Less yearsrequiredifhasrelevantMaster's or Doctorate qualifications.

    Business Experience -

    • 7+ years of hands-on data science experience delivering models to production with measurable business impact; 4+ years leading projects or small teams as a tech lead.

    • Experience in at leasttwo or morerelevantdomain(pricing,contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience).

    • Proventrack recordworking in crossfunctional product/engineering environments.

    Specialized Knowledge/Skills -

    • Supervised/unsupervised learning, timeseries, causal methods/experimentation, optimization; familiarity with LLMs/NLP and retrievalaugmented workflows preferred.

    • Expert in Python and SQL;proficiencywithPySpark; experience with Azure ML,MLflow, model registries, monitoring/telemetry (e.g., Evidently)and CI/CD.

    • Git, testing, packaging, pipelines; containerization; performance/cost tuning in cloud; observability and oncall patterns for ML services.

    • Feature engineering,working knowledge of healthcare/commercial data sets.

    • Demonstrated adherence to enterprise cybersecurity standards and securedevelopmentlifecycle for data/ML.

    • Executive storytelling; ability to translate technical results into decisions and outcomes.

    Working Conditions:

    Environment (Office, warehouse, etc.) -

    • Traditional officeenvironment.

    We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

    McKesson is an Equal Opportunity Employer

    McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

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