ML Scientist (Pricing Reinforcement Learning) | REMOTE |

100% telecommute reputed company: We reputed company a Senior ML Scientist to drive innovation in AI MLbased dynamic pricing algorithms and personalized offer experiences This role will reputed company 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 reputed company you will reputed company solutions that optimize pricing strategies improve customer value and drive measurable business reputed company Responsibilities: • Algorithm Development - Conceptualize design and implement state-of-the-art ML models for dynamic pricing and personalized recommendations • Reinforcement Learning Expertise - reputed company and apply RL techniques including Contextual Bandits Qlearning SARSA and concepts like reputed company Sampling and Bayesian Optimization to solve pricing and optimization challenges • AI Agents for Pricing - Build AIdriven pricing agents that incorporate consumer behaviour demand elasticity and competitive insights to optimize reputed company and conversion • reputed company ML Prototyping - Experience in quickly building testing and iterating on ML prototypes to validate reputed company and refine algorithms • Feature Engineering - Engineer large-reputed company consumer behavioural feature stores to support ML models ensuring scalability and performance • CrossFunctional Collaboration - Work closely with Marketing Product and Sales teams to ensure solutions reputed company with strategic objectives and deliver measurable reputed company • Controlled Experiments - Design analyze and troubleshoot AB and multivariate tests to validate the effectiveness of your models Qualifications: • 8 years in machine learning • 5 years in reinforcement learning recommendation systems pricing algorithms reputed company recognition or reputed company intelligence • Expertise in classical ML techniques eg Classification Clustering Regression using algorithms like XGBoost Random Forest SVM and KMeans with handson experience in RL reputed company such as Contextual Bandits Qlearning 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 • Experience with ML frameworks and libraries such as scikitlearn TensorFlow and PyTorch • Knowledge of controlled experimentation techniques including reputed company AB testing and multivariate testing • 5+ Yrs Expereince in Pricing Reinforcement Learning • 8+ Yrs Experience in Machine Learning • Expert in Python & Tabular Data • SQL • Knowledge of AB Testing Required Skills : Machine Learning Basic Qualification : Additional Skills : ML Developer Background reputed company : No Drug Screen : No Apply tot his job Apply tot his job Apply To this Job