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Data Science New Grad Jobs in Kitchener, ON (NOW HIRING)

Acceldata

Software Engineering Co-op

Kitchener, ON · On-site

Enterprise Data Observability is at the intersection of today's hottest and most crucial ... Currently pursuing a degree in Computer Science, Software Engineering, or a related field. * Strong ...

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Data Science New Grad information

What is a data science new grad?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What are the key skills and qualifications needed to thrive as a data science new grad?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.

What types of projects can a data science new grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What cities near Kitchener, ON are hiring for Data Science New Grad jobs?

Cities near Kitchener, ON with the most Data Science New Grad job openings:

Data Science New Grad jobs near you
Infographic showing various Data Science New Grad job openings in Kitchener, ON as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution.

Quality Assurance Analyst

Polyalgorithm Machine Learning

Waterloo, ON

Full-time

Posted 12 days ago

Job description

Quality Assurance Analyst

Waterloo Ontario (Hybrid)


PolyML is a fast-growing AI/ML company developing next-generation machine learning and analytics platforms that transform complex data into actionable insight. Our solutions help organizations improve operational performance, reduce risk, and make better decisions across manufacturing, financial services, and other data-intensive industries.

As PolyML continues its transition from advanced ML innovation to scalable commercial solutions, we are seeking a QA analyst to work with our engineering and data science teams to help us make our core technology accessible to customers. This is a ground floor opportunity within an early stage startup.

Working closely with executive leadership, technical teams, and clients, you will take ownership of establishing and evolving PolyML's QA capability for our core technology, with an early focus on scalable test automation and test-driven development practices, as well as managing all QA processes . This role will play a critical part in helping PolyML scale our core technology into market ready solutions.

What You Will Own

  • Developing QA test requirements and plans and processes
  • Collaborating with application development and product management to understand and document test cases
  • Implementing automated tests across multiple programming and scripting languages
  • Reporting on Software Quality metrics
  • Performing manual tests to supplement automation


Responsibilities

Test development

  • Assess requirements and identify documentation gaps
  • Translate product and system requirements into automated tests that validate intended functionality and behaviour
  • Define & implement testing scripts
  • Work with development team to automate testing scripts

Quality Review

  • Monitor and report on critical Software Quality metrics (e.g. coverage, code smells, defect rates)
  • Assess system-identified issues and raise issues as required
  • Perform manual quality checks as needed

QA Integration

  • Support shift-left practices for QA and quality processes
  • Enable continuous testing and scanning practices, to maximize early detection
  • Work with developers to embed quality expectations into the SDLC

Release Review & Support

  • Provide comprehensive pre-Release QA reporting and documentation
  • Review and test deployment plans before final release
  • Document and track defect escapes to ensure QA gaps are closed promptly


What We're Looking For (Must-Haves)

  • Strong hands-on experience designing and building automated testing solutions, including in situations where established frameworks or off-the-shelf tools are not available
  • Previous experience working with integration, regression, and performance/load testing
  • Experience testing APIs and data pipelines, including data integrity and transformation logic
  • Demonstrated scripting and programming experience with the ability to learn new technologies
  • Professional exposure to CI/CD workflows, including testing and quality tools
  • Strong technical aptitude with the ability to quickly develop a working understanding of complex concepts, products, technologies, and customer use cases
  • Excellent written and verbal communication skills, including executive-level reporting
  • Highly organized, detail-oriented, and comfortable managing multiple priorities simultaneously
  • Self-starter who thrives in fast-paced, growth-oriented environments


Nice-to-Haves

  • Previous experience working in an early stage rapidly growing tech company.
  • Experience working within AI, machine learning, analytics, software, or technology organizations
  • Exposure to product development, technology commercialization, or innovation programs
  • Experience supporting client-facing projects in manufacturing, financial services, or other regulated industries
  • Computer science or related degree or certification
  • Experience designing and evaluating tests for complex or non-deterministic systems, where results may involve tolerances, variability, or statistical equivalence rather than an exact expected outcome

PolyML as an Equal Opportunity Employer

PolyML is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


Why Join Us

Build next-generation AI/ML technology with real-world impact. At PolyML, you'll have high ownership, influence core platform architecture, and work closely with experienced leadership to solve challenging problems at scale. We offer competitive compensation, equity, hybrid work, and strong growth opportunities as we scale


Candidate and employee personal data is handled in accordance with PolyML's Privacy Policy and applicable data protection laws. Consent is obtained at the point of collection. Data is not shared with third parties beyond what is necessary for the recruitment process.

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