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Machine Learning Data Associate Jobs in Kitchener, ON

Sun Life Financial

Senior Data Engineer

Waterloo, ON · On-site

Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key ... Understanding of AI concepts and Machine learning and familiarity with AI services of AWS and ...

Sun Life Financial

Senior Data Engineer

Waterloo, ON · On-site

Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key ... Understanding of AI concepts and Machine learning and familiarity with AI services of AWS and ...

Manulife

AVP, AI Delivery

Waterloo, ON · On-site

... data teams, and AI practitioners to accelerate the delivery of innovative AI-powered capabilities ... Experience leading the delivery of enterprise AI, machine learning, generative AI, intelligent ...

Linamar

Apprentice - Machinist

Guelph, ON

... verify accuracy of machine setting or programmed control data. Adjust and set up machining ... Possess drive and motivation to maintain continuous learning from daily work activities What ...

AtHoc

AI Engineering Specialist

Waterloo, ON

CA$108K - CA$152K/yr

What you'll bring Required * 4+ years in software/AI/data engineering or technical consulting, with ... asAWS Certified Machine Learning / AI PractitionerorMicrosoft Azure AI Engineer Associate.

Providius

Quality Assurance Lead

Hamilton, ON · On-site

Experience validating data pipelines or machine learning systems * Familiarity with simulation, synthetic data, or scenario-based testing * Experience with chaos, fault-injection, or resilience ...

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Machine Learning Data Associate information

What is a machine learning data associate?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What are the key skills and qualifications needed to thrive as a machine learning data associate?

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a machine learning data associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning Data Associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Compensation and job satisfaction vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.

What cities near Kitchener, ON are hiring for Machine Learning Data Associate jobs?

Cities near Kitchener, ON with the most Machine Learning Data Associate job openings:

Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate job openings in Kitchener, ON as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data & Analytics Product Manager - North America

Guelph, ON • On-site

Mars
See more jobs at Marsexternal

CA$108K - CA$142K/yr

Full-time

Posted 2 days ago

New

Mars Inc. rating

7.7

Company rating: 7.7 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

Job description

Job Description:

Senior Data & Analytics Product Manager (North America)

Are you a visionary data leader ready to revolutionize how a global giant connects with pet parents and consumers? At Royal Canin, a proud division of Mars, Incorporated, we are undergoing a monumental Digital Transformation. We believe that solving critical business problems in a user-centric way through cutting-edge Data & Analytics is fundamental to our growth. Building on our early successes and foundational capabilities, we are looking for a trailblazing Senior Data & Analytics Product Manager (North America) to join our Global D&A Team and accelerate this journey.

In this pivotal technical leadership role, you will shape and deliver the North American marketing analytics product portfolio. Your core mission will be leading the evolution of our Marketing Mix Modeling (MMM) capabilities from traditional time-series methods to a modern, Causal and AI-Native framework. Bridging the gap between strategy and data science, you will collaborate with regional leaders and lead a high-performing squad of data engineers and scientists to deploy products that deliver massive, sustained business value.

If you are a builder who "leads with problems, not tools," thrives in translating complex algorithms into strategic business solutions, and wants to drive breakthrough innovation on a global scale, this is your opportunity to make a lasting impact.

What are we looking for?

  • Education: Bachelor's degree in Data Science, Statistics, Marketing Analytics, Business, Computer Science, or a related quantitative field. A Master's degree is preferred.

  • Core Experience: 7+ years of progressive experience in data & analytics, with a focus on marketing analytics and media mix modeling within a complex, multi-channel environment.

  • MMM Expertise: Strong background in Marketing product delivery for Data & Analytics with a particular focus on Marketing Mix Management. Expertise in the theory and application of modern Marketing Mix Modeling (MMM), including an understanding of its evolution from traditional time-series methods to contemporary causal and AI-based approaches (e.g., Bayesian methods, hierarchical models, agent-based models).

  • Stakeholder Leadership: Track record of customer-facing success and business acumen in working with teams to identify problems to solve, ideating on the art of the possible, and bringing possibilities to life.

  • Business-to-Science Translation: Strength in business-to-science translation to enable partnering with business teams and technology teams in bringing analytics product ideas to life.

  • Analytics Foundation: Strong analytics foundation, with experience in areas such as causal inference, advanced statistical modeling, and machine learning as they apply to marketing effectiveness.

  • Delivery Management: Experience in delivery management of analytical products, or awareness of the drivers of complexity within delivery.

What will be your key responsibilities?

  • Continuously build a roadmap of highest-impact analytical product areas with a focus on value-generation for our Marketing function.

  • Understand current state process, pain points, user personas, and existing tooling to synthesize many different viewpoints of the problem that each analytical product addresses into a clearly defined vision.

  • Architect the backlog of Epics that iteratively address the problem using the agile framework.

  • Prioritize Epics into Product releases and advocate for resourcing to achieve analytical product goals.

  • Oversee a squad of technical resources (including data engineers, data scientists, contractors and/or vendors) that will be deployed to the Product through release execution.

  • Evaluate solution's ability to solve the problem through adoption and other value creation indicators.

What can you expect from Mars?

  • Work with diverse and talented Associates, all guided by the Five Principles.

  • Join a purpose driven company, where we're striving to build the world we want tomorrow, today.

  • Best-in-class learning and development support from day one, including access to our in-house Mars University.

  • An industry competitive salary and benefits package, including company bonus.

The base pay range for this position at commencement of employment is expected to be between the below range. Please note: This job posting is for an existing vacancy. AI is used as a supporting tool in our recruitment process.

Base Salary Range: $108,672.00 CAD - $142,632.00CAD

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