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Manager Data Science Analytics Jobs in Ontario (NOW HIRING)

Senior Manager, Data Science

Toronto, ON · On-site

CA$120K - CA$150K/yr

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 ...

Senior Manager, Data Science

Toronto, ON · Hybrid

CA$184K - CA$210K/yr

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Senior Manager, Data Science About ... Working with various teams to analyze large swaths of data in order to optimize various business ...

Directly to the Manager, Data Science and Analytics Location: Fully remote within Canada and some domestic travel may be required. Must be flexible for evening/weekend commitments as needed. Job Type ...

You will take a lead in delivering advanced analytics solutions and advisory services to high-growth organizations, managing and supporting a diverse team consisting of data scientists, data ...

Data Scientist III

Toronto, ON · On-site

CA$96K - CA$136K/yr

... analytics, data science and/or consulting, ideally in an influencing or advisory capacity. * Effective stakeholder and project management skills with demonstrated experience leading large scale ...

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $81,600 - $115,200 CAD TD is committed ... Senior Manager, Data Science. As a Data Scientist in Real Estate Secured Lending, you will be ...

Engineering Manager, Data AI & Analytics Position Type: Regular - Full-Time Grade: Grade 06 ... Collaborate with data scientists, analysts, and business stakeholders to translate requirements ...

... data, and analytic capabilities * Manage and develop talent to drive a highly performant and ... PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience ...

New

Be responsible for performing heavy data-driven analytics and reconciliations for complex ... A University degree in quantitative discipline (mathematics, science, computer science, or ...

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Showing results 1-20

Manager Data Science Analytics information

What is the difference between Manager Data Science Analytics vs Data Scientist?

AspectManager Data Science AnalyticsData Scientist
CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Computer Science, or related field; focus on technical skills
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data analysis, builds models, explores data independently or in small teams
Employer & Industry UsageUsed in organizations with analytics teams, across industries like tech, finance, healthcareCommonly employed in data-driven roles across similar industries

The main difference is that a Manager Data Science Analytics oversees teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts technical data analysis and modeling. Both roles require strong analytical skills, but the managerial position emphasizes team management and stakeholder communication.

What cities in Ontario are hiring for Manager Data Science Analytics jobs? Cities in Ontario with the most Manager Data Science Analytics job openings:

Senior Manager, Data Science

Numeris

Toronto, ON • On-site

CA$120K - CA$150K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 18 days 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. 
 
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. 
  • Familiarity with Large Language Models and synthetic population frameworks considered an asset. 
  • 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'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: For those wishing to pursue additional professional development, funding up to $1000 per year is offered (some conditions apply).
  • Continuous learning and development 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. 
  • Leadership Training offerings for new and emerging leaders.
  • Culture of great teams, coworkers and supportive leadership.
  • Perkopolis: 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!
Values
 
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.
 
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. 
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