Principal Data Scientist

Tiger Analytics; Toronto; On-site; CAD 200,000 - 250,000; Full time

Job summary

A prominent analytics consulting firm in Toronto is seeking a Principal Data Scientist to lead the development of advanced machine learning models. The successful candidate will work collaboratively with teams to define technical problems and develop impactful data-driven solutions. This role requires extensive experience in data science, proficiency in Python, and expertise in deploying machine learning models using Google Cloud services. This position offers excellent career development opportunities in a dynamic environment.

Qualifications

• 7 years of experience in data science and machine learning model development.
• Proven ability to write clean, modular, and scalable Python code.
• Experience deploying ML models in production using Google Cloud Vertex AI.

Responsibilities

• Lead the development of sophisticated machine learning models to solve business problems.
• Collaborate with teams to integrate ML solutions into business processes.
• Develop and monitor analytical models to ensure business value.

Skills

Machine learning

Python programming

Statistical analysis

Data-driven solution development

Cross-functional collaboration

Tools

Google Cloud Vertex AI

Kubeflow

Apache Airflow

Job description

Tiger Analytics is looking for experienced Data Scientists to join our 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 multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Principal Data Scientist you will be at the forefront of solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions. The role demands a balanced mix of technical expertise, stakeholder management, and leadership. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

• Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems.
• Demonstrate proficiency in programming languages such as Python, with the ability to write clean, efficient, and maintainable code.
• Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets and derive actionable insights that lead to impactful outcomes.
• Take ownership of end-to-end model development—from problem definition and data exploration to model training, validation, deployment, and monitoring—delivering scalable solutions in real world settings.
• Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly.
• Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate machine learning solutions into business processes, with an emphasis on production-grade deployment.

• 7 years of experience in data science and ML model development
• A passion for writing high-quality, modular, and scalable code (Python), with hands-on involvement across end-to-end project execution.
• Solid understanding of regression, classification, and statistical methods
• Proven experience deploying machine learning models in production using Google Cloud Vertex AI (Training Jobs, Custom Training, Model Registry, Scoring Jobs, Experiment Tracking using TensorBoard)
• Experience in orchestrating ML pipelines using Vertex AI Pipelines (Kubeflow) and/or Cloud Composer (Apache Airflow)
• Experience with monitoring and maintaining ML models in production, using Vertex AI Model

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.