About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT Services and IT Consulting.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client is hiring an early-career Data Scientist to join their AI & Data Science team in Guelph, CA. This role focuses on building, validating, and deploying machine learning models that deliver measurable business impact. You’ll work closely with senior engineers and cross-functional partners across product and engineering.

• Design, develop, and evaluate predictive models and data pipelines using Python.
• Collect, clean, and transform structured and unstructured data for analysis.
• Implement model validation and monitoring practices to ensure performance and reliability.
• Collaborate with software engineers to productionize models using containerization and APIs.
• Use version control, code reviews, and collaborative workflows with Git.
• Create clear visualizations and reports to communicate insights to technical and non-technical stakeholders.
• Continuously learn and apply best practices in MLOps, reproducibility, and ethical AI.

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Qualifications (Required)

• Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or related field (or equivalent practical experience).
• Proficiency in Python and libraries such as NumPy, pandas, and scikit-learn.
• Solid understanding of common machine learning algorithms and model evaluation techniques.
• Experience working with structured and unstructured data; strong data preprocessing skills.
• Familiarity with Git and collaborative development workflows.
• Strong analytical, debugging, and problem-solving skills.
• Excellent written and verbal communication; ability to present results to diverse audiences.

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Preferred Qualifications

• Experience with deep learning frameworks (PyTorch, TensorFlow, or Keras).
• Exposure to containerization and model deployment (Docker, REST APIs).
• Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD for ML.
• Knowledge of MLOps tools (MLflow, Kubeflow) and model monitoring techniques.
• Experience with Linux, Kubernetes/OpenShift, or distributed systems.
• Awareness of ethical AI principles and bias mitigation strategies.

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Why Join

• Mentorship from senior data scientists and engineers.
• Hands-on opportunities to ship models that affect product outcomes.
• Professional development and training budget to grow your ML and engineering skills.
• Collaborative, inclusive team culture focused on impact and learning.

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Compensation & Location

• Location: Guelph, CA (on-site or hybrid as required by the team).
• Salary range: USD 88,800 — USD 133,200 per year (salary range provided per applicable pay-transparency laws).

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Additional Notes

This posting is presented by Careertakes, a third-party recruiting platform. All interviews and final hiring decisions are made by Confidential Client. Reasonable accommodations are available to applicants with disabilities; please notify us if you require an accommodation during the application process.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.