ML Scientist (Pricing Reinforcement Learning)

Job Title: ML Scientist (Pricing Reinforcement Learning)
Location: Remote
Employment Type: Contract

About Us:
DMV IT Service, headquartered in Washington, DC, is a premier provider of tailored IT solutions and staffing services nationwide. We specialize in delivering expert IT support, robust cybersecurity measures, and custom website and application development to enhance business efficiency and security. Our commitment extends to aligning top-tier talent with organizations, ensuring that our clients achieve their technological and operational objectives.

Job Overview:
We are seeking a highly skilled Senior ML Scientist to drive innovation in AI and ML-based dynamic pricing algorithms and personalized offer experiences. The ideal candidate will have extensive experience in machine learning, especially reinforcement learning techniques, to design and implement advanced models that enhance pricing strategies and customer value. This role will play a crucial part in improving business outcomes through data-driven insights and advanced algorithmic solutions.

Requirements

• 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:

• 8 years in machine learning
• 5 years in reinforcement learning recommendation systems pricing algorithms pattern recognition or artificial intelligence
• Expertise in classical ML techniques eg Classification Clustering Regression using algorithms like XGBoost Random Forest SVM and KMeans with handson experience in RL methods 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 causal AB testing and multivariate testing
• 5+ Years Expereince in Pricing Reinforcement Learning
• 8+ Years Experience in Machine Learning
• Expert in Python & Tabular Data
• SQL 
• Knowledge of AB Testing