ML Scientist (Pricing Reinforcement Learning) | REMOTE |

100% telecommute

Description : We seek a Senior ML Scientist to drive innovation in AI MLbased 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 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 Qlearning SARSA and concepts like Thompson 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 revenue and conversion
• Rapid ML Prototyping - Experience in quickly building testing and iterating on ML prototypes to validate ideas and refine algorithms
• Feature Engineering - Engineer large-scale 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 align with strategic objectives and deliver measurable impact
• Controlled Experiments - Design analyze and troubleshoot AB and multivariate tests to validate the effectiveness of your models

Qualifications :

Required Skills : Machine Learning

Basic Qualification :

Additional Skills : ML Developer

Background Check : No

Drug Screen : No