Title: Senior ML Scientist (Pricing Reinforcement Learning)Location: Mississauga, ON (Remote)ContractMandatory - Strong in Python, Pricing and Reinforcement Learning, Knowledge in SQLJob Description:We seek a Senior ML Scientist to drive innovation in AI ML based dynamic pricing algorithms and personalized offer experiences This role will focus on designing and implementing advanced machine learning models including reinforcement learning techniques like Contextual Bandits Qlearning 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 impactKey ResponsibilitiesAlgorithm Development Conceptualize design and implement state-of-the-art ML models for dynamic pricing and personalized recommendationsReinforcement Learning Expertise Develop and apply RL techniques including Contextual Bandits Qlearning SARSA and concepts like Thompson Sampling and Bayesian Optimization to solve pricing and optimization challengesAI Agents for Pricing Build AI driven pricing agents that incorporate consumer behaviour demand elasticity and competitive insights to optimize revenue and conversionRapid ML Prototyping Experience in quickly building testing and iterating on ML prototypes to validate ideas and refine algorithmsFeature Engineering Engineer largescale consumer behavioural feature stores to support ML models ensuring scalability and performanceCross Functional Collaboration Work closely with Marketing Product and Sales teams to ensure solutions align with strategic objectives and deliver measurable impactControlled Experiments Design analyze and troubleshoot AB and multivariate tests to validate the effectiveness of your modelsQualifications8 years in machine learning 5 years in reinforcement learning recommendation systems pricing algorithms pattern recognition or artificial intelligenceExpertise in classical ML techniques eg Classification Clustering Regression using algorithms like XGBoost Random Forest SVM and KMeans with hands on experience in RL methods such as Contextual Bandits Qlearning SARSA and Bayesian approaches for pricing optimizationProficiency in handling tabular data including sparsity cardinality analysis standardization and encodingProficient in Python and SQL including Window Functions Group By Joins and PartitioningExperience with ML frameworks and libraries such as scikitlearn TensorFlow and PyTorchKnowledge of controlled experimentation techniques including causal AB testing and multivariate testing
Job Title
Senior ML Scientist (Pricing Reinforcement Learning)