Description:

DMV IT Service is looking for a highly skilled Senior ML Scientist to work on AI and ML-based dynamic pricing algorithms and personalized offer experiences.
The candidate will be responsible for designing and implementing advanced models that enhance pricing strategies and customer value.
This role is crucial for improving business outcomes through data-driven insights and advanced algorithmic solutions.
The position is remote and is offered as a contract.

Requirements:

The candidate must have 8 years of experience in machine learning.
A minimum of 5 years of experience in reinforcement learning, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence is required.
Expertise in classical ML techniques such as Classification, Clustering, and Regression using algorithms like XGBoost, Random Forest, SVM, and KMeans is essential.
Hands-on experience with reinforcement learning methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization is necessary.
Proficiency in handling tabular data, including sparsity, cardinality analysis, standardization, and encoding is required.
The candidate must be proficient in Python and SQL, including Window Functions, Group By, Joins, and Partitioning.
Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, and PyTorch is needed.
Knowledge of controlled experimentation techniques, including causal A/B testing and multivariate testing, is essential.
The candidate should have 5+ years of experience specifically in Pricing Reinforcement Learning.

The position offers the opportunity to work with a premier provider of tailored IT solutions and staffing services.
The role allows for remote work, providing flexibility in the work environment.
The candidate will have the chance to drive innovation in AI and ML, contributing to significant business outcomes.
Collaboration with cross-functional teams such as Marketing, Product, and Sales will enhance professional growth and impact.