About Us

Syndesus is a company that assists U.S. companies in hiring Canadian remote talent, handling HR, payroll, and compliance.

Overview

We are seeking a Senior ML Scientist (Optimization & Reinforcement Learning) to join our team in Toronto, ON. In this role, you will drive innovation in AI ML-based dynamic pricing algorithms and personalized offer experiences. You will focus on designing and implementing advanced machine learning models, including reinforcement learning techniques like Contextual Bandits, Q-learning, SARSA, and more. By leveraging algorithmic expertise in classical ML and statistical methods, you will develop solutions that optimize pricing strategies, improve customer value, and drive measurable business impact.

Responsibilities

• Algorithm Development: Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing and personalized recommendations.
• Reinforcement Learning Expertise: Develop and apply RL techniques, including Contextual Bandits, Q-learning, SARSA, and concepts like Thompson Sampling and Bayesian Optimization, to solve pricing and optimization challenges.
• AI Agents for Pricing: Build AI-driven pricing agents that incorporate consumer behavior, demand elasticity, and competitive insights to optimize revenue and conversion.
• Rapid ML Prototyping: Quickly build, test, and iterate on ML prototypes to validate ideas and refine algorithms.
• Feature Engineering: Engineer large-scale consumer behavioral feature stores to support ML models, ensuring scalability and performance.
• Cross-Functional Collaboration: Work closely with Marketing, Product, and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact.
• Controlled Experiments: Design, analyze, and troubleshoot A/B and multivariate tests to validate the effectiveness of your models.

Who You Are

• 8+ years in machine learning, with 5+ years in reinforcement learning, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence.
• Expertise in classical ML techniques (e.g., Classification, Clustering, Regression) using algorithms like XGBoost, Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization.
• Proficiency in handling tabular data, including sparsity, cardinality analysis, standardization, and encoding.
• Proficient in Python and SQL (including Window Functions, Group By, Joins, and Partitioning).

Benefits & Perks

• Competitive salary (specific figures not provided).
• Opportunities for professional growth and learning.
• Collaborative and inclusive workplace culture.

Office Policy

• Location: Toronto, ON.
• Specific details about remote work or hybrid options are not provided.

Syndesus is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require accommodations during the application or interview process, please let us know.

For more information and to apply, visit: Senior ML Scientist (Optimization & Reinforcement Learning).