Apply on Employer Site

Tiger Analytics · 2 weeks ago

Principal Data Scientist

Toronto, Ontario, Canada

Full-time

Onsite

Senior Level, Lead/Staff

7+ years exp

Tiger Analytics is a fast-growing advanced analytics consulting firm seeking experienced Data Scientists. As a Principal Data Scientist, you will solve high-impact business problems using advanced machine learning and analytics solutions, while collaborating with cross-functional teams and driving strategy through analytical skills.

AdvertisingAnalyticsBig DataConsultingMachine LearningNews

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

Qualification

Machine LearningPythonData EngineeringGoogle Cloud Vertex AIML Pipeline OrchestrationStakeholder ManagementStatistical MethodsProblem Solving

Required

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