Data Scientist & Machine Learning Engineer

Summary

What You'll Do

• Translate business problems into data, modeling, and machine-learning solutions.
• Collect, clean, transform, and validate data for analysis and model development.
• Identify patterns, trends, anomalies, and actionable insights.
• Design, train, evaluate, and refine predictive or optimization models.
• Select features, algorithms, metrics, and validation strategies.
• Build reproducible data and machine-learning pipelines.
• Deploy models for batch or real-time inference and maintain model-serving infrastructure.
• Monitor model performance, data quality, drift, latency, and operational health.
• Communicate findings and collaborate with stakeholders, engineers, and domain experts.

What You Bring

• 3+ years developing, deploying, and monitoring production data or machine-learning pipelines.
• Bachelor's degree in a quantitative field such as Mathematics, Computer Science, Data Science, or Engineering.
• Deep technical knowledge across several listed ML, data-processing, LLM, MLOps, or LLMOps topics.
• Professional development experience with listed workflow, cloud, data warehouse, ML, and AI tools.
• Strong Python and SQL proficiency.
• Strong problem-solving, analytical, collaboration, organization, time-management, and execution skills.
• Ability to travel and work across time zones as needed.
• Reliable transportation to the workplace.

Preferred Qualifications

• Master's or PhD in AI/ML.
• Familiarity with Shell scripting.
• Knowledge of the domain name industry or digital identity ecosystem.

Salary Range

• Base salary range for this full-time position is CAD 87,000 to CAD 114,000, with flexibility based on experience.
• The position may include discretionary or nondiscretionary bonuses and long-term incentive compensation.

Offer Conditions

• A successful candidate must complete a background check after an offer.
• Work sponsorship may not be available and eligibility is reviewed case by case.