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Manager Data Science Analytics Jobs in Ontario (NOW HIRING)

Curinos Inc

Manager, Delivery Data Science

Toronto, ON · On-site

  • PTO

Our AI-first platform transforms proprietary data, advanced analytics and deep financial services ... We are seeking a Manager, Delivery Data Science to lead the development, validation, and ...

McKesson

Manager, Data Analytics

Mississauga, ON · Remote

Manager, Data Analytics Data Analyst plays a critical role in enabling enterprise-wide data-driven decision-making by managing and advancing McKesson's data assets. This position is responsible for ...

Ontario 407

Data Scientist

Woodbridge, ON

CA$85K - CA$115K/yr

Data Science and Analytics Location: 6300 Steeles Ave West, Woodbridge Total Potential Compensation ... This job involves model design, data management, data queries, and providing input into programs ...

McKesson

Manager, Data Analytics

Mississauga, ON · Remote

Manager, Data Analytics Data Analyst plays a critical role in enabling enterprise-wide data-driven decision-making by managing and advancing McKesson's data assets. This position is responsible for ...

Spotify

Product Manager - Data Platform

Toronto, ON · On-site

... engineers, data scientists, analysts, and machine learning practitioners who build Spotify ... We're looking for a passionate Product Manager to join the team responsible for Spotify's data ...

Mercor

Data Science Expert - AI Evaluation

Toronto, ON · Remote

CA$120 - CA$170/hr

Design precise, task-specific grading criteria for real-world data science deliverables such as analyses, models, dashboards, and experiment readouts. * Score AI-generated and human work samples ...

Tiger Analytics Inc.

GenAI Data Engineer

Toronto, ON

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several ...

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Showing results 21-40

All JobsData Science Analytics JobsManager Data Science Analytics JobsManager Data Science Analytics Jobs in Ontario

Manager Data Science Analytics information

What do manager data science analytics do?

A manager of data science analytics oversees teams that analyze large datasets to extract insights, support decision-making, and develop predictive models. They coordinate projects, communicate findings to stakeholders, and often have expertise in statistical methods, programming tools like Python or R, and data visualization. Their role involves leadership, strategic planning, and ensuring the effective application of analytics to meet business goals.

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.

How much do manager data science analytics managers make?

Manager data science analytics managers typically earn a median annual salary ranging from $110,000 to $150,000, depending on experience, industry, and location. Senior roles with advanced skills in machine learning, statistical analysis, and leadership may offer higher compensation, often exceeding $160,000 annually.

What cities in Ontario are hiring for Manager Data Science Analytics jobs?

Cities in Ontario with the most Manager Data Science Analytics job openings:

Manager Data Science Analytics jobs near you

Manager, Delivery Data Science

Curinos Inc

Toronto, ON • On-site

Full-time

PTO

Posted 7 days ago

Job description

Company Information

Curinos empowers financial institutions to put customers at the center of every decision. Our AI-first platform transforms proprietary data, advanced analytics and deep financial services expertise into timely recommendations - delivered right where teams work. The result: confident decisions, stronger customer relationships, and lasting, profitable growth.


Curinos operates under a hybrid modality and has office locations in New York, Chicago, Boston, Toronto, and London. This role is open to remote candidates based in the Toronto area and able to travel as needed.


About the Role

We’re building the next generation of marketing personalization leveraging AI, machine learning, experimentation, and adaptive decisioning to ensure the right content reaches the right customer at the right moment. This role sits at the intersection of Delivery Data Science and Product Data Science, helping translate advanced modeling capabilities into measurable client outcomes.

We are seeking a Manager, Delivery Data Science to lead the development, validation, and application of machine learning solutions powering client programs on Curinos’s proprietary marketing optimization platform. This individual will serve as a bridge between business strategy and technical execution - partnering closely with Data Science, Product, and Client Success teams to develop optimization strategies, support model governance, and drive analytical insights that improve performance.

This role combines hands-on model development, experimentation strategy, and analytics leadership. You will be responsible for ensuring models are designed, validated, monitored, and communicated effectively while helping shape how personalization evolves across our client portfolio.

What You'll Do

Build and Operationalize Predictive Models

  • Partner closely with the Data Science team to train, test, and deploy ML and AI models, within the model risk standards required by the banking industry, including model bias, disparate impact, AI guardrails, privacy controls, and ongoing monitoring
  • Translate business objectives into modeling frameworks, features, and optimization opportunities
  • Own end-to-end model development and validation including sample adequacy, out-of-time testing, and reproducibility checks before sign-off
  • Extend, and deploy our Reinforcement Learning-based marketing optimization capabilities while following our quality standards for model deployment and monitoring
  • Evaluate model performance and identify opportunities for ongoing improvement
  • Own model monitoring, stability tracking, and performance reporting
  • Help operationalize new modeling approaches within live client programs

Design Measurement and Experimentation Frameworks

  • Support the development of experimentation strategies that maximize learning and business impact
  • Ensure test design, audience allocation, and outcome measurement align with modeling objectives
  • Partner with stakeholders to define success metrics and measurement approaches
  • Interpret experimental results and translate findings into actionable recommendations
  • Identify opportunities to accelerate learning and improve future model performance

Deliver Advanced Analytics and Strategic Insights

  • Analyze customer behavior, campaign performance, and engagement signals generated by the platform
  • Develop analytical frameworks that uncover opportunities for growth, optimization, and improved customer experience
  • Deliver executive-ready insights and recommendations to both internal and external stakeholders
  • Translate complex analytical findings into clear business narratives
  • Help articulate the business value of personalization and data-driven decisioning

Support Team Development and Cross-Functional Collaboration

  • Provide technical mentorship and analytical guidance to analysts and senior analysts across the Delivery Data Science team
  • Establish best practices for analytics, experimentation, model evaluation, and reporting
  • Collaborate effectively with Product, Data Science, Client Success and Engineering teams
  • Act as a subject matter expert on personalization analytics and model-driven decisioning

Desired Skills & Expertise

We are looking for candidates who:

  • Have 5+ years of experience in Data Science, Marketing Analytics, Machine Learning, Decision Sciences, or a related field
  • Have experience building, validating, and deploying predictive models in production or client-facing environments
  • Possess strong statistical foundations, including experimentation, hypothesis testing, sampling methodologies, predictive modeling, and causal analysis
  • Demonstrate experience supporting model governance, validation, documentation, or Model Risk Management processes
  • Can effectively translate business problems into analytical and modeling solutions
  • Are comfortable balancing technical depth with stakeholder communication and business impact
  • Thrive in fast-paced environments with multiple priorities and evolving requirements
  • Have strong presentation and storytelling skills and can communicate effectively with both technical and executive audiences
  • Enjoy partnering across business, product, and technical teams to drive measurable outcomes

Technical Skills

  • Python, SQL, and data manipulation at scale
  • Machine learning and statistical modeling techniques. Experience in reinforcement learning and multi-armed bandit applications is highly preferred
  • Experimental design and measurement methodologies
  • Model performance evaluation and monitoring
  • Databricks (highly preferred), AWS, or similar cloud-based analytics environments
  • Git, version control, and collaborative development workflows
  • Advanced PowerPoint and data storytelling capabilities

What Success Looks Like

  • Models are successfully deployed and scaled across client programs
  • MRM reviews and validation requests are completed efficiently and with high quality
  • Experimentation programs generate meaningful learning and measurable business outcomes
  • Stakeholders trust and act on analytical recommendations
  • Delivery teams are equipped with better tools, frameworks, and modeling capabilities to drive client performance

Why work at Curinos?


  • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from
  • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!
  • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!
  • Learning and development tools to assist with your career development
  • Work with industry leading Subject Matter Experts and specialist products
  • Regular social events and networking opportunities
  • Collaborative, supportive culture, including an active DE&I program
  • Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services

Applying:

We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need!

If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at careers@curinos.com and we’ll do everything we can to help.

Inclusivity at Curinos:

We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed.  As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, colour, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.