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Relocation Package Data Science Jobs in Toronto, ON

Senior Manager, Data Science

Toronto, ON ยท On-site

CA$120K - CA$150K/yr

Advanced knowledge of statistical packages and data science programming (e.g. Python, R). * Advanced analytical and critical thinking skills. * Strong leadership and people management skills. What ...

Manager, Data Science

Toronto, ON ยท Hybrid

CA$82K - CA$154K/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 ...

Role Overview As a Senior Credit Risk Modeling - Data Science, you will be an individual ... Competitive base salary + performance bonus + equity package. * Fast-growth startup environment ...

Data Scientist

Toronto, ON ยท On-site

CA$68K - CA$100K/yr

Ensure the accuracy and reliability of data science models, conduct peer reviews of AI and other ... Your recruiter will share more information about our total rewards package during the hiring ...

Data Scientist III

Toronto, ON ยท Remote

CA$96K - CA$136K/yr

Degree in quantitative discipline (e.g., AI, data science, business management, statistics ... Our Total Rewards Package Our Total Rewards package reflects the investments we make in our ...

Lead client consultations as the primary data science expert, translating complex statistical ... Proven experience building complex models from scratch, not just using pre-built packages * Strong ...

Principal Data Scientist

Toronto, ON ยท On-site

CA$129K - CA$189K/yr

This role brings data science into day-to-day product engineering, from instrumentation and ... In addition to base salaries, our compensation package may include annual cash bonuses, commissions ...

Data Scientist, AI Deployment

Toronto, ON ยท Hybrid

CA$125K - CA$188K/yr

Drive customer success by providing ongoing technical guidance that ensures data science ... In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package ...

Data Architect

Toronto, ON ยท Hybrid

CA$120K - CA$150K/yr

Stay current with emerging data science, AI, and machine learning techniques and tools ... Comprehensive Health & Wellness Benefits Package * Socials, Outings & Retreats * Retirement ...

Data Scientist

Toronto, ON ยท On-site

CA$80K - CA$120K/yr

MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD ... Compelling rewards package including base compensation, eligibility for annual bonus, retirement ...

Data Scientist

Markham, ON ยท On-site

CA$80K - CA$120K/yr

MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD ... Compelling rewards package including base compensation, eligibility for annual bonus, retirement ...

Lead and enforce data science best practices: coding, peer-review, experimentation and testing ... An extensive flex pension and benefits package, with access to virtual healthcare * Flexible work ...

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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:

Senior Manager, Data Science

Numeris

Toronto, ON โ€ข On-site

CA$120K - CA$150K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 5 hours ago


Job description

Numeris is Canada's most trusted and authoritative source for broadcast measurement and consumer behaviour data. As well, the industry leading intelligence provider to broadcasters, advertisers, and agencies. We have been recognized for over 75 years as providing the gold standard in audience intelligence.ย 
ย 
We have great people who do exceptional work. We take pride in building an environment of continuous learning and career advancement opportunities. Our teams are collaborative, curious, and dedicated to creating quality experiences. We love what we do, enjoy each other's company, and support initiatives to give back to our communities. We are looking for people to help us shape the future of Numeris, and have a lot of fun along the way.

The Senior Manager, Data Science is responsible for the design and validation of advanced analytics methodologies at Numeris. This role leads the review and application of machine learning, statistical approaches and hybrid methodologies, integrates diverse data sources and ensures the accuracy, reliability and research rigour of both syndicated and ad-hoc outputs. The Senior Manager provides technical leadership and people management for the Data Science team, while working closely with other teams within Research as well as Product, Technology and Operations stakeholders.

What you will do
  • Be responsible for the quality and statistical research rigor of Numeris data products including developing and reviewing weighting, fusion, calibration, attribution and other statistical processes as well as the accuracy and reliability of data outputs.
  • Manage the Data Science team in order to provide recommendations for the use of statistical, Data Science and AI methodologies, the continuous improvement of current analytical data processes and procedures, and the expansion of value added to data products.
  • Oversee the application and review of data mining, data integration and hybrid methodologies. Assess the integrity of statistical and machine learning models developed internally or built externally by business partners, guaranteeing the use of rigorous research statistical and data science standards.
  • Develop and support alternative or new approaches including hybrid methodologies for the mining, management, production and usability of new data outputs, leveraging both data and information from a variety of internal and external sources.
  • Produce, supervise and vet reports and recommendations based on data modelling, advanced analytics and simulations with business impact on Numeris clients.
  • Support automation projects throughout the organization by implementing solutions that drive efficiency.
  • Work closely with Data Science partners, as well as internal Product, Technology and Operations staff.
What you have

Education & Certifications

  • Master's or Doctorate degree in Statistics or Data Science or related field with strong statistical and computational skills.
  • Accredited Statistician or Advanced Data Science certifications preferred
Skills & Experience
  • 5 years or more in a similar role or a combination of experience and educational background.
  • Expertise in theoretical and applied statistics, from sample design to modeling and forecasting.
  • Solid knowledge of advanced analytics, data integration, natural language processing and AI-driven methodologies.ย 
  • Familiarity with Large Language Models and synthetic population frameworks considered an asset.ย 
  • Advanced knowledge of statistical packages and data science programming (e.g. Python, R).ย 
  • Advanced analytical and critical thinking skills.
  • Strong leadership and people management skills.
What's in it for you?
  • Be part of an evolutionary journey in the audience measurement and data space; work on exciting projects, add value & make a positive impact to our Company.
  • The base pay range for this position is $120,000-$150,000 CAD/year, with an Annual Incentive Plan bonus. The base pay offered may vary depending on job-related knowledge, skills and experience.
  • Benefits package, group savings and retirement program. (Health and Dental employer paid premiums).
  • Hybrid Work: on-site office in Toronto and work from home as required per the role.
  • 4 weeks paid vacation.
  • Education Reimbursement:ย For those wishing to pursue additional professional development, funding up to $1000 per year is offered (some conditions apply).
  • Continuous learning and developmentย via Percipio, our Learning Management System.
  • Be part of additional programs such as MentorMe, which helps our employee's network, and grow within the organization.ย 
  • Leadership Training offerings for new and emerging leaders.
  • Cultureย of great teams, coworkers and supportive leadership.
  • Perkopolis:ย Participation in a program that provides exclusive discounts on products and services to employees. Perks include shopping discounts, movie tickets, services, event/show tickets and much more!
$120,000 - $150,000 a year
Values
ย 
Stronger Together:
We succeed through collaboration with each other and with the industry. Unity drives our impact.
Innovation with Intent:
We embrace change and challenge convention. Our innovation is purposeful, driven by insights, guided by strategy, and focused on delivering meaningful future-proofed solutions.
People First:
We prioritize the well-being, growth and voices of our people. We actively listen, support development, and create space where everyone can succeed.
Excellence in Motion:
We pursue continuous improvement in everything we do, from our processes to our time to market. With a growth mindset and a commitment to excellence, we bring solutions to life with precision and purpose.
ย 
Numeris is an equal opportunity employer
We are committed to creating an accessible environment for all our employees and foster a culture that focuses on diversity, equity, inclusion and belonging. We believe that a diverse workforce helps everyone contribute in meaningful ways towards our shared success.ย 
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