How to Get a Remote Job with No Experience
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AI Summary
Design, deploy, and optimize machine learning models to drive data-driven decisions in personalized offers, pricing, and customer targeting. Own end-to-end projects from problem formulation to production monitoring, collaborating with engineering, product, and business teams to scale impactful solutions. Leverage AI tools and cloud platforms to accelerate research and deliver measurable commercial outcomes.
Key Highlights
End-to-end ownership of ML models impacting business decisions (offers, pricing, targeting)
Build scalable, production-grade solutions across multiple products and data environments
Mentor teams and elevate standards in modeling, reproducibility, and code review
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Key Responsibilities
Research, design, and deploy supervised/unsupervised ML models for personalized offers, pricing, and customer targeting
Build scalable solutions across products, partners, and data environments using cloud platforms (e.g., AWS SageMaker)
Conduct rigorous experiments, evaluate emerging approaches (e.g., recommendation systems, adaptive decision-making), and monitor models in production
Collaborate with engineering, product, and business stakeholders to translate complex needs into practical, data-driven solutions
Mentor junior data scientists and set high standards for modeling, reproducibility, and code quality
Leverage AI tools to accelerate research, development, and problem-solving
Technical Skills Required
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Benefits & Perks
RRSP Matching
Comprehensive Health Plans
Flexible Paid Time Off
Travel Experience Perk
Annual Wellness Perk
Commuter Perk
Tenure-Based Work From Anywhere Program
Parental Leave Top Up
Adventure Pass
Learning Allowance
Job Description
Permanent
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